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This Data Analytics course with Python is focused on training students Analytics using Python from Fundamentals using practical real-time industry projects. It aims to develop skills and make students capable to embark their journey in IT sector with Data Analyst roles.
This Data Analytics course with Python is focused on training students Analytics using Python from Fundamentals using practical real-time industry projects. It aims to develop skills and make students capable to embark their journey in IT sector with Data Analyst roles.
Become Certified and Gain Competitive Edge
Undergrad or postgrad students from any discipline of study.
No prior work experience is required for this program.
Ideal for freshers or experienced students from unrelated field.
Ambitious individuals aiming for hands-on experience
Harness Extensive Industry Network of 510+ Companies with Relevant Skills
Syllabus | Data Analytics Course
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Syllabus | Data Analytics Course
Our Data Analytics Course with Python Programming offers a comprehensive curriculum designed to elevate your data skills. With live training, you’ll master key areas including Python programming, data visualization, and excel for analytics. The course features 3 real-time industry projects, ensuring hands-on practical knowledge in data analytics.
Our Data Analytics Course with Python Programming offers a comprehensive curriculum designed to elevate your data skills. Over 60 hours of engaging live training, you’ll master key areas including Python programming, data visualization, and excel for analytics. The course features 3 real-time industry projects, ensuring hands-on experience and practical knowledge to excel in the field of data 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
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
Learn practically data mining, using SQL database. Data visualization and analytics using Power BI & Tableau and data handling using Excel.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: Excel for Analytics
Learn modern techniques of Data Analysis using Python and popular open-source libraries like pandas, scikit-learn and NumPy and transform data into insights.
Module 1: Introduction
Module 2: Data Wrangling
Module 3: Exploratory Data Analysis
Module 4: Model Development
Module 5: Model Evaluation
Gate a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Analytics skill development for your better career.
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Analytics skill development for your better career
Products in the markets are
1stepGrow provides you with
1stepGrow Data Analytics Course focuses on Focused Group Training with Live projects
One year 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:
₹ 19,000
+ 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.
Weekday Batch
Weekend Batch
Weekday Batch
Weekend Batch
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.
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 Analytics skill development for your better career
The course is designed for beginners and aims to enable participants to learn the basics of Python before using the application of data analytics via libraries like Pandas, Numpy, Matplotlib, and Seaborn for data analytics. It does not need prior programming skills, making it easy for non-techies and non-programmers.
The Data Analytics using Python Course is an online data analytics training program designed to make non-programmers skilled in data analysis using Python. You’ll learn how to:
Visit the syllabus for the complete curriculum!
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.
This is personal group training, hence we have limited the students to around 20 in a batch. A smaller group size usually helps maximize student involvement in trainer interaction and subsequently the enriched environment of learning.
Students can enjoy continuous mentoring and referrals for jobs for one year from the start of the course. The purpose of this is to create a neuro cycle around the student so that there’s continuing learning and support during and after training.
The duration of Data Analytics Course training is for approximately 60 hours i.e. around 2 months in which online sessions in practice and projects are distributed with interview training.
The course allows students to take classes on weekdays or weekends:
Weekend Batch: 2.5 months, Saturday and Sunday, 3 to 4 hours/day
This Data Analytics Course using Python concentrates on training the participants, taking them through real-time projects outside of the classroom into the real world of Analytics. The demand for incredibly skilled and Python-savvy data analyst professionals has risen beyond the moon; however, this training has enhanced employability and offered ridiculously high-level capabilities in using the newest modern approaches and tools in data analytics as well as industry practices that run those advanced careers, thus giving them an edge within a highly competitive market.
Indeed, examinations and tests are part of the curriculum of Learning Development course, and these are intentionally designed so that students may be measured in various areas of the subject. These will then become one of the different forms of assessments and projects that make the course include expert knowledge in concept understanding through case studies and practical applications through projects.
The Data Analytics Course is very much a practical course. The students will be required to work on real-world analytics projects using Python to equip themselves with the applicable skills for tackling problems that they face on the floor today in data analytics.
Our Job Assistance Program offers you the employment assistance you need to land your dream job. It includes:
Job Interviews
Referrals to help you connect with prospective employers in the industry.
Students attending the Data Analytics Course will receive unlimited job referrals for the period of subscription which is one year.
The total fee for the Data Analytics Course is INR 19,000/- plus 18% GST.
We offer multiple payment methods for your convenience:
Reach out to us and your career guide will get
in touch with you shortly
All Answers To Your Future Career
The course is designed for beginners and aims to enable participants to learn the basics of Python before using the application of data analytics via libraries like Pandas, Numpy, Matplotlib, and Seaborn for data analytics. It does not need prior programming skills, making it easy for non-techies and non-programmers.
The Data Analytics using Python Course is an online data analytics training program designed to make non-programmers skilled in data analysis using Python. You’ll learn how to:
Visit the syllabus for the complete curriculum!
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.
This is personal group training, hence we have limited the students to around 20 in a batch. A smaller group size usually helps maximize student involvement in trainer interaction and subsequently the enriched environment of learning.
Students can enjoy continuous mentoring and referrals for jobs for one year from the start of the course. The purpose of this is to create a neuro cycle around the student so that there’s continuing learning and support during and after training.
The duration of Data Analytics Course training is for approximately 60 hours i.e. around 2 months in which online sessions in practice and projects are distributed with interview training.
The course allows students to take classes on weekdays or weekends:
Weekend Batch: 2.5 months, Saturday and Sunday, 3 to 4 hours/day
This Data Analytics Course using Python concentrates on training the participants, taking them through real-time projects outside of the classroom into the real world of Analytics. The demand for incredibly skilled and Python-savvy data analyst professionals has risen beyond the moon; however, this training has enhanced employability and offered ridiculously high-level capabilities in using the newest modern approaches and tools in data analytics as well as industry practices that run those advanced careers, thus giving them an edge within a highly competitive market.
Indeed, examinations and tests are part of the curriculum of Learning Development course, and these are intentionally designed so that students may be measured in various areas of the subject. These will then become one of the different forms of assessments and projects that make the course include expert knowledge in concept understanding through case studies and practical applications through projects.
The Data Analytics Course is very much a practical course. The students will be required to work on real-world analytics projects using Python to equip themselves with the applicable skills for tackling problems that they face on the floor today in data analytics.
Our Job Assistance Program offers you the employment assistance you need to land your dream job. It includes:
Job Interviews
Referrals to help you connect with prospective employers in the industry.
Students attending the Data Analytics Course will receive unlimited job referrals for the period of subscription which is one year.
The total fee for the Data Analytics Course is INR 19,000/- plus 18% GST.
We offer multiple payment methods for your convenience:
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
