Live Interactive Classes
Hiring Partners
Guaranteed Job Referrals
Avg. Salary Hike
This Data Analytics course provides comprehensive training in descriptive analytics using Python programming. The curriculum encompasses Exploratory Data Analytics, SQL-based database management, and data visualization with Power BI & Tableau. By completing this course, you will gain a comprehensive understanding of essential tools and techniques in Data Analytics, enhancing your knowledge and expertise in the field.
This Data Analytics course provides comprehensive training in descriptive analytics using Python programming. The curriculum encompasses Exploratory Data Analytics, SQL-based database management, and data visualization with Power BI & Tableau. By completing this course, you will gain a comprehensive understanding of essential tools and techniques in Data Analytics, enhancing your knowledge and expertise in the field.
Dual Certification
Graduates from computer science, mathematics, or a related field
Professionals with experience in technology background
Early to mid-career professionals seeking career leap
Ambitious individuals aiming for hands-on experience
Harness Extensive Industry Network of 510+ Companies with Relevant Skills
Syllabus | Data Analytics Course
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Syllabus | Data Analytics Course
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
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
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
Module 2: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
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
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
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
Module 2: Excel for Analytics
Introduction to Excel for Analytics
Data Preparation and Cleaning
Data Analysis Techniques in Excel
Advanced Excel Analytics
Gate a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Industry Projects
Wide Range Of Tools & Modules
Products in the markets are
1stepGrow provides you with
1stepGrow Data Science & Artificial Intelligence Course focuses on Focused Group Training with Live projects
Three years of live class support with access to various batches and instructors
Never miss a session with unlimited access to recorded classes
Get offline feeling in online mode: unmute, ask, and clear doubts in real time
Advantage for revision: get lifetime access to class recordings and material
Invest in your future with quality education
Program Fee:
₹ 39,000
+ 18% GST
Invest in your future with quality education
Program Fee:
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Domain Specialization
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.
The Advanced Data Science and AI program at
1stepGrow Academy has exceeded my
expectations. With 14+ years of technical
experience, I still gained fresh insights,
particularly in my already known topics. The
trainers deliver thorough instruction in all topics;
technical or conceptual, breaking down complex
concepts with clarity and patience. The curated
course is exceptional and the recommended
tutorials are high-quality and domain-standard.
The training's depth rivals that of leading
universities, providing significant career
advancement. The management and training at
1stepGrow have been instrumental in my
further skill development.
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.
Enrolling at 1stepGrow Academy has been a fantastic experience. Their knowledgeable and approachable tutors break down complex concepts into easy-to-understand explanations. Small class sizes ensure personalized attention, and the well-organized administration communicates promptly. This training helped me secure a promotion at J.P. Morgan. Overall, 1stepGrow Academy exceeded my expectations, and I highly recommend it for mastering essential corporate applications.
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.
I completed the Advanced course from
1stepGrow, and it proved to be a comprehensive learning experience. The training
included a balanced mix of theory, practical sessions, and industry projects that equipped me with real-world skills. The instructors were
knowledgeable and provided strong support throughout. With additional offerings like Microsoft Azure certification, this course is perfect for professionals looking to advance or
switch careers into the data science domain.
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
The Data Analytics Course with Python Programming is a fundamental program where the training begins with the basics. This course is open to anyone and does not have any specific prerequisites other than enthusiasm and an interest in number crunching.
This data analytics program with Python programming focuses on developing the necessary skills in the field of data analytics. The program includes:
In our Data Analytics Course with Python Programming, we prioritize quality training through individualized mentorship. To create an engaging learning atmosphere and facilitate regular doubt-solving interactions, we limit the batch size to a maximum of 15 students. This ensures personalized attention from mentors and promotes an interactive learning experience.
Students enrolled in our Data Analytics Course with Python Programming receive a 1-year subscription. This ensures ongoing access to live class support, mentorship from the institute, and job referrals for the duration of the subscription.
The online training program for the Data Analytics Course with Python Programming provides students with several advantages:
The duration of the Data Analytics Course with Python Programming is around 4 months (110 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 3 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 4 months, with classes on Saturdays and Sundays for 3.5 hours per day.
The Data Analytics Course with Python Programming employs instructor-led online training, which consists of live virtual sessions conducted by experienced instructors. Participants engage in interactive learning activities, allowing them to develop proficiency in data analytics using Python programming. This training approach promotes active participation and facilitates direct communication with the instructor.
If you missed to attend a live session in the Data Analytics Course with Python Programming, there’s no need to worry. The instructor-led online training format provides access to recorded sessions, allowing you to catch up on the missed material. This ensures that you can continue your learning at your own pace and make the most out of the course.
The Data Analytics Course with Python Programming leverages a smaller batch size to optimize the learning process. With a reduced number of participants, students have more opportunities to address their queries and seek clarification during the session. The trainer can effectively guide the course progression while ensuring that each student’s questions are adequately addressed.
Yes, students are encouraged to actively interact and ask questions during the live training sessions in the Data Analytics Course with Python Programming. We strive to create an engaging learning atmosphere where students can seek clarification from the trainer regarding any doubts or concerns. To facilitate effective interaction, we maintain small class sizes with a maximum of 15 students per batch.
The Data Analytics Course with Python Programming accelerates your career in data analytics. Gain practical coding skills and data analysis techniques using Python libraries like Pandas, NumPy, and Seaborn. Manipulate, clean, preprocess data, and develop descriptive analytics. Excel in data analytics and Python programming for exciting career opportunities.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Data Analytics Course with Python Programming. 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 Data Analytics Course with Python Programming, including recorded sessions, assignments, and course materials, are accessible through our online learning platform, which is designed to be mobile-friendly. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that scheduling conflicts may arise, and you may need to switch between batches. If such a situation arises during the Data Analytics Course with Python Programming, 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 Data Analytics Course with Python Programming, 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.
Yes, practical training is an integral part of the Data Analytics Course with Python Programming. Through hands-on exercises you’ll gain practical experience in data manipulation, exploratory data analysis using Python, and data visualization using Power BI. This practical training will enhance your proficiency in data analytics and Python programming.
The Data Analytics Course with Python Programming includes up to 1 end-to-end Capstone projects. These projects provide students with practical experience by allowing them to apply their skills in data analytics using Python programming to real-world scenarios.
Absolutely! The Data Analytics Course with Python Programming provides the opportunity to interact with industry experts and mentors. These seasoned professionals will be accessible to provide guidance, share their practical knowledge, and offer mentorship as you develop your skills in data analytics using Python programming
Absolutely! The Data Analytics Course with Python Programming offers a dedicated community forum where students can interact and collaborate. This forum provides an avenue for you to connect with fellow learners, discuss course content, share resources, and collaborate on data analytics projects using Python programming. It creates an environment conducive to peer-to-peer learning and collaboration.
At 1stepGrow, we provide a student forum dedicated to participants of the Data Analytics Course with Python Programming. If you have any queries or face any difficulties while practicing, you can post your questions on the forum. Our trainers and fellow students actively engage on the forum, providing prompt responses and helpful solutions.
In the Data Analytics Course with Python Programming, we recognize the importance of resolving doubts and fostering a strong learning environment. Therefore, we conduct doubt-solving sessions within the class to address queries and clarify concepts. These sessions offer participants the opportunity to engage with the trainers and gain deeper insights into the course material.
The Data Analytics Course with Python Programming offers a Job Assistance program to equip participants with the necessary tools for a successful career transition.
Our job assistance program is a four step program:
The mock interviews in the Data Analytics Course with Python Programming are conducted online through video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video of the interview, you can identify areas for improvement in both soft skills and technical skills. This course offers 1 mock interview.
To be eligible for job assistance from 1stepGrow, you need to fulfill certain criteria. These include completing all assessment tests with a score of 70% or higher, submitting assignments on time, actively participating in real-time projects, and successfully completing capstone projects.
Yes, upon successfully completing the Data Analytics Course with Python Programming, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in data analytics techniques using the Python programming language.
Reach out to us and your career guide will get
in touch with you shortly
All Answers To Your Future Career
The Data Analytics Course with Python Programming is a fundamental program where the training begins with the basics. This course is open to anyone and does not have any specific prerequisites other than enthusiasm and an interest in number crunching.
This data analytics program with Python programming focuses on developing the necessary skills in the field of data analytics. The program includes:
In our Data Analytics Course with Python Programming, we prioritize quality training through individualized mentorship. To create an engaging learning atmosphere and facilitate regular doubt-solving interactions, we limit the batch size to a maximum of 15 students. This ensures personalized attention from mentors and promotes an interactive learning experience.
Students enrolled in our Data Analytics Course with Python Programming receive a 1-year subscription. This ensures ongoing access to live class support, mentorship from the institute, and job referrals for the duration of the subscription.
The online training program for the Data Analytics Course with Python Programming provides students with several advantages:
The duration of the Data Analytics Course with Python Programming is around 4 months (110 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 3 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 4 months, with classes on Saturdays and Sundays for 3.5 hours per day.
The Data Analytics Course with Python Programming employs instructor-led online training, which consists of live virtual sessions conducted by experienced instructors. Participants engage in interactive learning activities, allowing them to develop proficiency in data analytics using Python programming. This training approach promotes active participation and facilitates direct communication with the instructor.
If you missed to attend a live session in the Data Analytics Course with Python Programming, there’s no need to worry. The instructor-led online training format provides access to recorded sessions, allowing you to catch up on the missed material. This ensures that you can continue your learning at your own pace and make the most out of the course.
The Data Analytics Course with Python Programming leverages a smaller batch size to optimize the learning process. With a reduced number of participants, students have more opportunities to address their queries and seek clarification during the session. The trainer can effectively guide the course progression while ensuring that each student’s questions are adequately addressed.
Yes, students are encouraged to actively interact and ask questions during the live training sessions in the Data Analytics Course with Python Programming. We strive to create an engaging learning atmosphere where students can seek clarification from the trainer regarding any doubts or concerns. To facilitate effective interaction, we maintain small class sizes with a maximum of 15 students per batch.
The Data Analytics Course with Python Programming accelerates your career in data analytics. Gain practical coding skills and data analysis techniques using Python libraries like Pandas, NumPy, and Seaborn. Manipulate, clean, preprocess data, and develop descriptive analytics. Excel in data analytics and Python programming for exciting career opportunities.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Data Analytics Course with Python Programming. 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 Data Analytics Course with Python Programming, including recorded sessions, assignments, and course materials, are accessible through our online learning platform, which is designed to be mobile-friendly. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that scheduling conflicts may arise, and you may need to switch between batches. If such a situation arises during the Data Analytics Course with Python Programming, 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 Data Analytics Course with Python Programming, 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.
Yes, practical training is an integral part of the Data Analytics Course with Python Programming. Through hands-on exercises you’ll gain practical experience in data manipulation, exploratory data analysis using Python, and data visualization using Power BI. This practical training will enhance your proficiency in data analytics and Python programming.
The Data Analytics Course with Python Programming includes up to 1 end-to-end Capstone projects. These projects provide students with practical experience by allowing them to apply their skills in data analytics using Python programming to real-world scenarios.
Absolutely! The Data Analytics Course with Python Programming provides the opportunity to interact with industry experts and mentors. These seasoned professionals will be accessible to provide guidance, share their practical knowledge, and offer mentorship as you develop your skills in data analytics using Python programming
Absolutely! The Data Analytics Course with Python Programming offers a dedicated community forum where students can interact and collaborate. This forum provides an avenue for you to connect with fellow learners, discuss course content, share resources, and collaborate on data analytics projects using Python programming. It creates an environment conducive to peer-to-peer learning and collaboration.
At 1stepGrow, we provide a student forum dedicated to participants of the Data Analytics Course with Python Programming. If you have any queries or face any difficulties while practicing, you can post your questions on the forum. Our trainers and fellow students actively engage on the forum, providing prompt responses and helpful solutions.
In the Data Analytics Course with Python Programming, we recognize the importance of resolving doubts and fostering a strong learning environment. Therefore, we conduct doubt-solving sessions within the class to address queries and clarify concepts. These sessions offer participants the opportunity to engage with the trainers and gain deeper insights into the course material.
The Data Analytics Course with Python Programming offers a Job Assistance program to equip participants with the necessary tools for a successful career transition.
Our job assistance program is a four step program:
The mock interviews in the Data Analytics Course with Python Programming are conducted online through video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video of the interview, you can identify areas for improvement in both soft skills and technical skills. This course offers 1 mock interview.
To be eligible for job assistance from 1stepGrow, you need to fulfill certain criteria. These include completing all assessment tests with a score of 70% or higher, submitting assignments on time, actively participating in real-time projects, and successfully completing capstone projects.
Yes, upon successfully completing the Data Analytics Course with Python Programming, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in data analytics techniques using the Python programming language.
Reach out to us and your career guide will get
in touch with you shortly
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
1stepGrow
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
