11-13 Months | 28 Projects
7-8 Months | 14 Projects
6-7 Months | 12 Projects
4.5 Months | 45 Projects
11-13 Months | 28 Projects
7-8 Months | 14 Projects
9-11 Months | 24 Projects
8-10 Months | 20 Projects
8-10 Months | 20 Projects
6-7 Months | 12 Projects
3-4 Months | 6 Projects
4.5 Months | 45+ Projects
3 Months | 30 Projects
Trainers from IIT, NIT and Top MNCs
Trainers from IIT, NIT and Top MNC’s
1stepGrow’s advanced data analytics course offers comprehensive training in Python programming, focusing on descriptive and predictive analytics. You will learn essential skills such as data analytics, web scraping, exploratory data analysis, and machine learning for predictive analytics. Additionally, the course covers topics like SQL for database management, data visualization using Power BI & Tableau, and version control with GitHub. By completing this course, you will acquire in-depth knowledge and expertise in essential data analytics tools and techniques using Python.
1stepGrow’s advanced data analytics course offers comprehensive training in Python programming, focusing on descriptive and predictive analytics. You will learn essential skills such as data analytics, web scraping, exploratory data analysis, and machine learning for predictive analytics. Additionally, the course covers topics like SQL for database management, data visualization using Power BI & Tableau, and version control with GitHub. By completing this course, you will acquire in-depth knowledge and expertise in essential data analytics tools and techniques using Python.
Benefits
The demand for data science in India is experiencing rapid growth, projected to increase by 200% by 2026. This surge presents a lucrative and appealing career option. Moreover, India holds the second position globally in recruiting data science talent, with the industry expected to reach USD 119 billion by 2026, generating a remarkable 11 million job openings.
Dual Certification
Be in demand with Microsoft certification
Gain advantage through real-time industry projects
Gain advantage through real-time industry projects
Who This Program Is For?
Who This Program Is For?
Bachelor degree with good academic performance
Open to all levels of experience
No Barrier
Aim for data-driven excellence and strategic optimization
Bachelor degree with good academic performance
Open to professionals with non-programming background
Early to mid-career professionals seeking data expertise
Aim for data-driven excellence and strategic optimization
Harness our influential industry network
Syllabus
Syllabus
Embark on an enriching journey with the carefully curated Data Analytics course at 1stepGrow, where you will engage in hands-on learning through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire valuable experience and establish a strong foothold in the dynamic realm of data analytics. Immerse yourself in this comprehensive program, expertly crafted by industry professionals, to expand your expertise and excel in the industry.
Embark on an enriching journey with the carefully curated Data Analytics course at 1stepGrow, where you will engage in hands-on learning through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire valuable experience and establish a strong foothold in the dynamic realm of data analytics. Immerse yourself in this comprehensive program, expertly crafted by industry professionals, to expand your expertise and excel in the industry.
This course offers a comprehensive introduction to Git, a version control system, and GitHub, a popular platform for collaborative software development. Learn to effectively share and store work using these tools.
Introduction to Version Control Systems
Git Basics
Working with Git Remotely
Collaborating with GitHub
This course provides a comprehensive guide to optimizing your LinkedIn profile for professional success and networking opportunities.
Python is a versatile programming language widely used in data analytics and data science. With its rich libraries and frameworks like NumPy, Pandas, and scikit-learn, Python enables efficient data manipulation, analysis, and modelling, making it an essential tool for extracting insights from data.
NumPy
Pandas
Matplotlib
Seaborn
EDA Project
Analyze Data to Gain Insights and Identify Patterns – Use concepts like Remove duplicates, handle missing values, Calculate basic statistics like mean, median, and standard deviation to summarize the data. Create charts and graphs to visualize trends, patterns, and data behaviour.
Tools: Python: Jupyter Notebook – Pandas, NumPy, Matplotlib and Seaborn for analysis
Statistics and Machine Learning involve analyzing and interpreting data to gain insights and make predictions. Statistics focuses on data description, inference, and hypothesis testing, while Machine Learning involves developing algorithms and models to learn patterns and make predictions from data.
Database management involves the storage, organization, and retrieval of data. Structured databases use predefined schemas and are suitable for tabular data, while unstructured databases store data in flexible formats like text, images, and multimedia. Both are essential for efficient data management in various applications.
Introduction to SQL
SQL Basics
Advanced SQL Queries
Database Design and Normalization
Advanced Database Concepts
Introduction to MongoDB
MongoDB Basics
Advanced MongoDB Queries
MongoDB Administration
MongoDB and Programming Languages
Data Visualization is presenting data in visual formats such as charts, graphs, and maps to facilitate understanding and gain insights. We can use various tools. This course covers 3 of the most popular data visualization & analytics tools to add in your arsenal: Power BI, Tableau & Excel for Data Analytics
Introduction to Power BI
Data Preparation and Modeling
Data Visualization Techniques
Advanced Analytics in Power BI
Power BI Sharing and Collaboration
Introduction to Tableau
Data Preparation and Transformation
Building Visualizations in Tableau
Advanced Analytics in Tableau
Tableau Dashboards and Storytelling
Tableau Sharing and Collaboration
Module 3: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
The process of collecting, storing, and processing large volumes of data from various sources to extract valuable insights. Tools like Hadoop, Spark, and Kafka enable efficient handling, analysis, and integration of big data for decision-making and data-driven applications.
The process of deploying machine learning models and data science applications on cloud platforms, enabling scalable and accessible solutions for real-time predictions and insights.
This course offers a comprehensive introduction to Git, a version control system, and GitHub, a popular platform for collaborative software development. Learn to effectively share and store work using these tools.
Introduction to Version Control Systems
Git Basics
Working with Git Remotely
Collaborating with GitHub
This course provides a comprehensive guide to optimizing your LinkedIn profile for professional success and networking opportunities.
Python is a versatile programming language widely used in data analytics and data science. With its rich libraries and frameworks like NumPy, Pandas, and scikit-learn, Python enables efficient data manipulation, analysis, and modelling, making it an essential tool for extracting insights from data.
NumPy
Pandas
Matplotlib
Seaborn
EDA Project
Analyze Data to Gain Insights and Identify Patterns – Use concepts like Remove duplicates, handle missing values, Calculate basic statistics like mean, median, and standard deviation to summarize the data. Create charts and graphs to visualize trends, patterns, and data behaviour.
Tools: Python: Jupyter Notebook – Pandas, NumPy, Matplotlib and Seaborn for analysis
Statistics and Machine Learning involve analyzing and interpreting data to gain insights and make predictions. Statistics focuses on data description, inference, and hypothesis testing, while Machine Learning involves developing algorithms and models to learn patterns and make predictions from data.
Database management involves the storage, organization, and retrieval of data. Structured databases use predefined schemas and are suitable for tabular data, while unstructured databases store data in flexible formats like text, images, and multimedia. Both are essential for efficient data management in various applications.
Introduction to SQL
SQL Basics
Advanced SQL Queries
Database Design and Normalization
Advanced Database Concepts
Introduction to MongoDB
MongoDB Basics
Advanced MongoDB Queries
MongoDB Administration
MongoDB and Programming Languages
Data Visualization is presenting data in visual formats such as charts, graphs, and maps to facilitate understanding and gain insights. We can use various tools. This course covers 3 of the most popular data visualization & analytics tools to add in your arsenal: Power BI, Tableau & Excel for Data Analytics
Introduction to Power BI
Data Preparation and Modeling
Data Visualization Techniques
Advanced Analytics in Power BI
Power BI Sharing and Collaboration
Introduction to Tableau
Data Preparation and Transformation
Building Visualizations in Tableau
Advanced Analytics in Tableau
Tableau Dashboards and Storytelling
Tableau Sharing and Collaboration
Module 3: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
The process of collecting, storing, and processing large volumes of data from various sources to extract valuable insights. Tools like Hadoop, Spark, and Kafka enable efficient handling, analysis, and integration of big data for decision-making and data-driven applications.
The process of deploying machine learning models and data science applications on cloud platforms, enabling scalable and accessible solutions for real-time predictions and insights.
Industry Projects
Industry Projects
Predict fraud in the dataset by Paysim to identify fraudulent transactions based on customer transaction behaviour. Ensure genuine users are crucial to avoid financial crises. Use Data mining and machine learning techniques for fraud detection and model
Forecast the demand for specific drugs at Novartis using advanced statistical and machine learning techniques, and artificial intelligence model to optimize production, inventory management, and supply chain operations.
Analyze historical call data, seasonality, and other factors to implement a call volume forecasting system that accurately predicts the incoming call volumes and provide accurate forecasts, enabling the call centre to optimize staffing levels, allocate resources efficiently, and enhance customer service.
Leverage advanced analytics and machine learning techniques to analyze and interpret large datasets related to training programs at Crossfit. Examine various factors such as customers demographics, learning outcomes, instructional methods, and feedback and identify patterns, correlations, and insights that can inform evidence-based decision-making in designing and improving training programs
Analyze various factors of student such as student demographics, past academic records, and engagement indicators to predict student performance that can provide personalized interventions for academic success using data science and machine learning techniques
Use statistical techniques and create a machine learning algorithm to assess credit risk and predict default probabilities that mitigates credit risks and optimize risk management strategies.
Build a machine learning model to predict fares based on historical trip data factors like distance, duration, route, climate, time of travel, traffic conditions, demand-supply dynamics and surge pricing etc. The model should provide users with accurate fare estimates before confirming a ride.
With aim to enhance cement quality and optimize strength characteristics use analytics and machine learning algorithms to analyze data from their production processes, raw materials, and environmental conditions
Wide Range Of Tools & Modules
What makes us Unique?
Generic program for both freshers and working professionals
Lack of emphasis on hands-on projects and lack of customization for working professionals
Insufficient practical knowledge and no customization for professionals.
Fixed schedules that don't cater to the needs of working professionals.
Tailored by experts to ensure industry relevance and confidence.
Practical approach to solving real-world problems with expert guidance.
Developed and delivered by top-tier industry experts to ensure relevance and confidence.
Personalized doubt-clearing sessions, flexible batch options, and interactive live sessions.
Tailored by experts to ensure industry relevance and confidence.
Practical approach for solving real-world problems with expert guidance.
Developed and delivered by top-tier industry experts to ensure relevance and confidence.
Personalized doubt-clearing sessions, flexible batch options, and interactive live sessions.
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Enroll in live courses with two years of support and the ability to switch between batches and instructors.
Access recorded sessions for convenient review of missed classes.
Receive one-on-one doubt-clearing sessions tailored to address your specific questions and concerns.
Specially scheduled batches designed to fit the busy schedules of working professionals.
Enjoy ongoing support and lifelong access to course materials.
Program Fee & Financing
Invest in your future with quality education
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Thanks to 1stepGrow team, I am a successful Data Scientist. Transitioning from a teacher to the data science field was challenging, but the support and real-time project experience provided by 1stepGrow during the COVID pandemic made a significant difference. I am grateful for the personalized training and guidance from Ravi and the team. Today, I am proud to be working as a Data Scientist at Shyena Tech Yarn.
Coming from a mechanical background, I enrolled in 1stepgrow's data science program. The mentors provided exceptional support, helping me understand the concepts. Their guidance was invaluable, leading me to secure a job even before completing the program. The personalized attention and focused learning approach allowed me to ask multiple doubts and receive proper guidance.
My experience with 1stepGrow was fantastic. Their exceptional support enabled me to transition to the data science team in my company. Through hands-on work in the IT domain, I gained a deep understanding of the practical aspects of being a data scientist. The journey was seamless, thanks to the real-world experience provided by 1stepGrow.
1stepGrow is an excellent training institute for data science. Despite being a startup, I opted for them due to their small batch size. The vibrant class environment and interactive trainers greatly enhanced my skills. The encouraging atmosphere allowed me to ask questions and actively participate. Within just 6 months, I achieved success as a data analyst. My journey with 1stepGrow was truly amazing.
Learn More About Your Learning Options
The Advanced Data Analytics Course with Predictive Analytics is designed for beginners, introducing foundational concepts at the start. Students joining the program should possess problem-solving skills and a strong mathematical aptitude.
This advanced data analytics program with predictive analytics focuses on developing the necessary skills for descriptive and predictive analytics using machine learning concepts. The program includes:
Yes, this program is specifically designed for professionals looking for career transition in data analytics and are non-programmers. The advanced data analytics with predective analytics is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.
The Advance Data Analytics Course with Predictive Analytics aims to deliver top-notch training through personalized attention. To foster an interactive learning environment and ensure effective doubt-solving, we keep our batch sizes small, with a maximum limit of 15 students. This approach enables mentors to provide focused guidance and promotes active participation among learners.
Students undertaking our Advance Data Analytics Course with Predictive Analytics are granted a 2-year subscription. This provides them with continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.
The online training program for the Advance Data Analytics Course with Predictive Analytics offers students a range of benefits:
The duration of the Advance Data Analytics Course with Predictive Analytics is approximately 6 months (180 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 5 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 6 months, with classes on Saturdays and Sundays for 3.5 hours per day.
The Advanced Data Analytics Course with Predictive Analytics offers instructor-led online training, which involves live sessions facilitated by skilled instructors. Students actively participate in these sessions, fostering an interactive learning environment. The course focuses on advanced data analytics techniques and predictive analytics, enabling participants to apply their knowledge to real-world scenarios.
In the Advanced Data Analytics Course with Predictive Analytics, if you are unable to attend a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the material. This ensures that you can continue your learning journey smoothly and benefit from the comprehensive course content.
The Advanced Data Analytics Course with Predictive Analytics benefits from a smaller batch size, which creates an environment conducive to effective learning. With fewer students, participants can engage more actively and have their queries resolved within the session. The trainer can also tailor the course pace to meet the specific needs of the students, resulting in an enhanced learning experience.
Absolutely! We highly encourage student interaction and questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics. Our aim is to provide a supportive learning environment where students can engage with the trainer and address any queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.
The Advanced Data Analytics Course unleashes the power of data analytics. Learn advanced techniques, statistical models, and predictive analytics methodologies. Apply data visualization, machine learning algorithms, and predictive modeling using tools like data visualization and machine learning to drive strategic decision-making.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Advance Data Analytics Course with Predictive Analytics. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials for the Advance Data Analytics Course with Predictive Analytics, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that you may need to switch between batches due to office workload or personal reasons. If such a situation arises during the Advance Data Analytics Course with Predictive Analytics, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Advance Data Analytics Course with Predictive Analytics, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.
Practical training is a key component of the Advanced Data Analytics Course with Predictive Analytics. You’ll engage in hands-on exercises and real-world projects, applying advanced analytics techniques and predictive modeling. This practical experience will strengthen your analytical skills and empower you to derive actionable insights from data.
Real-time projects play a crucial role in the Advance Data Analytics Course with Predictive Analytics. These projects utilize industry datasets (with confidential information modified) and enable participants to apply data analytics concepts and predictive algorithms to real-world scenarios. By working on 11 industry projects covering diverse scenarios, students can strengthen their practical skills, gain confidence, and become proficient in data analytics with predictive capabilities.
Domain specializations play a crucial role in the Advance Data Analytics Course with Predictive Analytics. Through capstone projects and mentorship, these specializations provide industry-specific training and practical exposure to predictive analytics techniques in different domains. By working on real-world projects sourced from diverse industries, participants can enhance their skills, gain domain-specific knowledge, and become proficient in applying advanced data analytics and predictive techniques in specific business contexts.
The Advance Data Analytics Course with Predictive Analytics incorporates up to 1 end-to-end Capstone project. These projects enable participants to apply their skills and gain hands-on experience by working on real-world scenarios in the field of advanced data analytics with a focus on predictive analytics.
Project experience in our Advance Data Analytics Course with Predictive Analytics involves engaging in industry projects relevant to domain specializations. Students work in groups with assigned mentors. Following successful completion, the project is evaluated by our institute and partner company. If it meets the required standards, we issue a project experience certificate, recognizing your practical experience in advance data analytics.
Yes, the Advanced Data Analytics Course with Predictive Analytics allows you to connect with industry experts and mentors. These experienced professionals will be available to guide you, share their expertise, and provide mentorship as you explore advanced data analytics techniques and delve into the realm of predictive analytics.
Yes, the Advanced Data Analytics Course with Predictive Analytics provides a community forum for students to interact and collaborate. This forum enables you to connect with peers, discuss course topics, share insights, and seek feedback on your predictive analytics projects. It fosters a supportive community where you can engage in meaningful discussions and leverage collective knowledge.
For participants of the Advance Data Analytics Course with Predictive Analytics, we offer a dedicated student forum where you can seek resolution for your queries outside the class. If you have any doubts or encounter challenges during your practice, simply post your queries on the forum. Our trainers and fellow students actively engage on the forum, providing assistance and valuable insights.
In the Advance Data Analytics Course with Predictive Analytics, we understand the significance of addressing doubts and ensuring a comprehensive learning experience. As part of the course structure, we conduct regular doubt-solving sessions within the class, allowing participants to raise questions and seek clarification. These sessions contribute to a deeper understanding of the course topics and help participants overcome challenges.
The total fees for advance data analytics program with predictive analytics is INR 54,900/- + 18% GST
Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 5,399/month for a 12-month EMI. You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking partner.
The different payment methods accepted by us are:
1stepGrow offers 15 – 20% scholarship on early-birds. Our counselors will inform you if an early bird discount is available for the course.
Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.
The Advance Data Analytics Course with Predictive Analytics includes a comprehensive Job Assistance program. This program is designed to support students in their job search and career advancement.
Our job assistance program is a four step program:
Mock interviews for the Advance Data Analytics Course with Predictive Analytics are conducted online using video mode. Feedback on your performance will be provided within a week. You will receive a recorded video of the interview, enabling you to identify areas for improvement in both soft skills and technical skills. This course includes up to 2 mock interviews.
Absolutely! We offer comprehensive job assistance to students upon the completion of the Advanced Data Analytics Course with Predictive Analytics. Our placement cell supports students in resume building, interview preparation, and connects them with relevant job opportunities in the field of data analytics and predictive analytics. We strive to empower our students to excel in their careers.
Our Advance Data Analytics Course with Predictive Analytics offers job referral assistance to our students. We have established partnerships with various companies and consultancies in the data analytics field, and we refer our qualified students to these organizations for job opportunities.
To be eligible for job assistance from 1stepGrow, you need to meet specific criteria. These include achieving a score of 70% or higher in all assessment tests, submitting assignments in a timely manner, completing real-time projects, and successfully completing Capstone project.
Yes, upon successfully completing the Advance Data Analytics Course with Predictive Analytics, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in advanced data analytics techniques and predictive analytics.
Yes, we provide academic certifications as part of the Advance Data Analytics Course with Predictive Analytics. These certifications recognize your knowledge and skills in the field of data analytics and highlight your expertise in applying predictive analytics techniques. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.
Yes! Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, demonstrating your practical skills and experience in data analytics and predictive analytics.
As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that showcases your proficiency in advanced data analytics and predictive analytics. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions in the data analytics field.
As an on-job professional, this course offers recognition that can accelerate your career growth. You will receive a Course Completion Certificate, validating your expertise in advanced data analytics and predictive analytics. The project experience and practical skills gained through the course will enhance your professional profile, enabling you to take on more challenging data analytics roles and responsibilities.
A project experience certification by a company holds significant value in the industry. It demonstrates your ability to apply advanced data analytics and predictive analytics techniques to real-world projects, showcasing your practical skills and problem-solving abilities. This certification enhances your credibility and can significantly impact your career advancement in the data analytics field.
The Advanced Data Analytics Course with Predictive Analytics is designed for beginners, introducing foundational concepts at the start. Students joining the program should possess problem-solving skills and a strong mathematical aptitude.
This advanced data analytics program with predictive analytics focuses on developing the necessary skills for descriptive and predictive analytics using machine learning concepts. The program includes:
Yes, this program is specifically designed for professionals looking for career transition in data analytics and are non-programmers. The advanced data analytics with predective analytics is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.
The Advance Data Analytics Course with Predictive Analytics aims to deliver top-notch training through personalized attention. To foster an interactive learning environment and ensure effective doubt-solving, we keep our batch sizes small, with a maximum limit of 15 students. This approach enables mentors to provide focused guidance and promotes active participation among learners.
Students undertaking our Advance Data Analytics Course with Predictive Analytics are granted a 2-year subscription. This provides them with continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.
The online training program for the Advance Data Analytics Course with Predictive Analytics offers students a range of benefits:
The duration of the Advance Data Analytics Course with Predictive Analytics is approximately 6 months (180 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 5 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 6 months, with classes on Saturdays and Sundays for 3.5 hours per day.
The Advanced Data Analytics Course with Predictive Analytics offers instructor-led online training, which involves live sessions facilitated by skilled instructors. Students actively participate in these sessions, fostering an interactive learning environment. The course focuses on advanced data analytics techniques and predictive analytics, enabling participants to apply their knowledge to real-world scenarios.
In the Advanced Data Analytics Course with Predictive Analytics, if you are unable to attend a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the material. This ensures that you can continue your learning journey smoothly and benefit from the comprehensive course content.
The Advanced Data Analytics Course with Predictive Analytics benefits from a smaller batch size, which creates an environment conducive to effective learning. With fewer students, participants can engage more actively and have their queries resolved within the session. The trainer can also tailor the course pace to meet the specific needs of the students, resulting in an enhanced learning experience.
Absolutely! We highly encourage student interaction and questions during the live training sessions in the Advanced Data Analytics Course with Predictive Analytics. Our aim is to provide a supportive learning environment where students can engage with the trainer and address any queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.
The Advanced Data Analytics Course unleashes the power of data analytics. Learn advanced techniques, statistical models, and predictive analytics methodologies. Apply data visualization, machine learning algorithms, and predictive modeling using tools like data visualization and machine learning to drive strategic decision-making.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Advance Data Analytics Course with Predictive Analytics. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, you will receive lifetime access to the course materials. This includes recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials for the Advance Data Analytics Course with Predictive Analytics, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that you may need to switch between batches due to office workload or personal reasons. If such a situation arises during the Advance Data Analytics Course with Predictive Analytics, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Advance Data Analytics Course with Predictive Analytics, you can expect comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.
Practical training is a key component of the Advanced Data Analytics Course with Predictive Analytics. You’ll engage in hands-on exercises and real-world projects, applying advanced analytics techniques and predictive modeling. This practical experience will strengthen your analytical skills and empower you to derive actionable insights from data.
Real-time projects play a crucial role in the Advance Data Analytics Course with Predictive Analytics. These projects utilize industry datasets (with confidential information modified) and enable participants to apply data analytics concepts and predictive algorithms to real-world scenarios. By working on 11 industry projects covering diverse scenarios, students can strengthen their practical skills, gain confidence, and become proficient in data analytics with predictive capabilities.
Domain specializations play a crucial role in the Advance Data Analytics Course with Predictive Analytics. Through capstone projects and mentorship, these specializations provide industry-specific training and practical exposure to predictive analytics techniques in different domains. By working on real-world projects sourced from diverse industries, participants can enhance their skills, gain domain-specific knowledge, and become proficient in applying advanced data analytics and predictive techniques in specific business contexts.
The Advance Data Analytics Course with Predictive Analytics incorporates up to 1 end-to-end Capstone project. These projects enable participants to apply their skills and gain hands-on experience by working on real-world scenarios in the field of advanced data analytics with a focus on predictive analytics.
Project experience in our Advance Data Analytics Course with Predictive Analytics involves engaging in industry projects relevant to domain specializations. Students work in groups with assigned mentors. Following successful completion, the project is evaluated by our institute and partner company. If it meets the required standards, we issue a project experience certificate, recognizing your practical experience in advance data analytics.
Yes, the Advanced Data Analytics Course with Predictive Analytics allows you to connect with industry experts and mentors. These experienced professionals will be available to guide you, share their expertise, and provide mentorship as you explore advanced data analytics techniques and delve into the realm of predictive analytics.
Yes, the Advanced Data Analytics Course with Predictive Analytics provides a community forum for students to interact and collaborate. This forum enables you to connect with peers, discuss course topics, share insights, and seek feedback on your predictive analytics projects. It fosters a supportive community where you can engage in meaningful discussions and leverage collective knowledge.
For participants of the Advance Data Analytics Course with Predictive Analytics, we offer a dedicated student forum where you can seek resolution for your queries outside the class. If you have any doubts or encounter challenges during your practice, simply post your queries on the forum. Our trainers and fellow students actively engage on the forum, providing assistance and valuable insights.
In the Advance Data Analytics Course with Predictive Analytics, we understand the significance of addressing doubts and ensuring a comprehensive learning experience. As part of the course structure, we conduct regular doubt-solving sessions within the class, allowing participants to raise questions and seek clarification. These sessions contribute to a deeper understanding of the course topics and help participants overcome challenges.
The total fees for advance data analytics program with predictive analytics is INR 54,900/- + 18% GST
Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 5,399/month for a 12-month EMI. You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking partner.
The different payment methods accepted by us are:
1stepGrow offers 15 – 20% scholarship on early-birds. Our counselors will inform you if an early bird discount is available for the course.
Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.
The Advance Data Analytics Course with Predictive Analytics includes a comprehensive Job Assistance program. This program is designed to support students in their job search and career advancement.
Our job assistance program is a four step program:
Mock interviews for the Advance Data Analytics Course with Predictive Analytics are conducted online using video mode. Feedback on your performance will be provided within a week. You will receive a recorded video of the interview, enabling you to identify areas for improvement in both soft skills and technical skills. This course includes up to 2 mock interviews.
Absolutely! We offer comprehensive job assistance to students upon the completion of the Advanced Data Analytics Course with Predictive Analytics. Our placement cell supports students in resume building, interview preparation, and connects them with relevant job opportunities in the field of data analytics and predictive analytics. We strive to empower our students to excel in their careers.
Our Advance Data Analytics Course with Predictive Analytics offers job referral assistance to our students. We have established partnerships with various companies and consultancies in the data analytics field, and we refer our qualified students to these organizations for job opportunities.
To be eligible for job assistance from 1stepGrow, you need to meet specific criteria. These include achieving a score of 70% or higher in all assessment tests, submitting assignments in a timely manner, completing real-time projects, and successfully completing Capstone project.
Yes, upon successfully completing the Advance Data Analytics Course with Predictive Analytics, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in advanced data analytics techniques and predictive analytics.
Yes, we provide academic certifications as part of the Advance Data Analytics Course with Predictive Analytics. These certifications recognize your knowledge and skills in the field of data analytics and highlight your expertise in applying predictive analytics techniques. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.
Yes! Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, demonstrating your practical skills and experience in data analytics and predictive analytics.
As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that showcases your proficiency in advanced data analytics and predictive analytics. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions in the data analytics field.
As an on-job professional, this course offers recognition that can accelerate your career growth. You will receive a Course Completion Certificate, validating your expertise in advanced data analytics and predictive analytics. The project experience and practical skills gained through the course will enhance your professional profile, enabling you to take on more challenging data analytics roles and responsibilities.
A project experience certification by a company holds significant value in the industry. It demonstrates your ability to apply advanced data analytics and predictive analytics techniques to real-world projects, showcasing your practical skills and problem-solving abilities. This certification enhances your credibility and can significantly impact your career advancement in the data analytics field.
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Elevate your career with our courses – gain the skills and knowledge that will set you apart and propel you toward success. Check your eligibility now and enroll today. Let’s make your career dreams a reality.
We provide online certification in data science and AI, digital marketing, data analytics with a job guarantee program. For more information, contact us today!
Courses
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Anaconda | Jupyter Notebook | Git & GitHub (Version Control Systems) | Python Programming Language | R Programming Langauage | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | Deep Learning | Neural Networks | Computer Vision | Reinforcement Learning | ANN | CNN | RNN | LSTM | Facebook Prophet | SQL | MongoDB | Advance Excel for Data Science | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Science Capstone Projects | ML Capstone Projects | AI Capstone Projects | Domain Training | Business Analytics
WordPress | Elementor | On-Page SEO | Off-Page SEO | Technical SEO | Content SEO | SEM | PPC | Social Media Marketing | Email Marketing | Inbound Marketing | Web Analytics | Facebook Marketing | Mobile App Marketing | Content Marketing | YouTube Marketing | Google My Business (GMB) | CRM | Affiliate Marketing | Influencer Marketing | WordPress Website Development | AI in Digital Marketing | Portfolio Creation for Digital Marketing profile | Digital Marketing Capstone Projects
Jupyter Notebook | Git & GitHub | Python | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | SQL | MongoDB | Advance Excel for Data Science | Alteryx | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Analytics Capstone Projects
Anjanapura | Arekere | Basavanagudi | Basaveshwara Nagar | Begur | Bellandur | Bommanahalli | Bommasandra | BTM Layout | CV Raman Nagar | Electronic City | Girinagar | Gottigere | Hebbal | Hoodi | HSR Layout | Hulimavu | Indira Nagar | Jalahalli | Jayanagar | J. P. Nagar | Kamakshipalya | Kalyan Nagar | Kammanahalli | Kengeri | Koramangala | Kothnur | Krishnarajapuram | Kumaraswamy Layout | Lingarajapuram | Mahadevapura | Mahalakshmi Layout | Malleshwaram | Marathahalli | Mathikere | Nagarbhavi | Nandini Layout | Nayandahalli | Padmanabhanagar | Peenya | Pete Area | Rajaji Nagar | Rajarajeshwari Nagar | Ramamurthy Nagar | R. T. Nagar | Sadashivanagar | Seshadripuram | Shivajinagar | Ulsoor | Uttarahalli | Varthur | Vasanth Nagar | Vidyaranyapura | Vijayanagar | White Field | Yelahanka | Yeshwanthpur
Mumbai | Pune | Nagpur | Delhi | Gurugram | Chennai | Hyderabad | Coimbatore | Bhubaneswar | Kolkata | Indore | Jaipur and More
