Data Analysis Course at ESS Digital Learning
Unlock the world of data analysis with our comprehensive course that brings you in-depth learning across four powerful tools—Python, Excel, MySQL, and Tableau. From the basics to advanced applications, our curriculum is designed to equip you with practical skills to analyze, visualize, and interpret data effectively.
Job Assistance
Live + Recorded Classes
6 Months
Hindi
Why Choose Our Data Analysis Course?
At ESS, we provide hands-on, practical training in data analysis, preparing you for the dynamic demands of the industry. Our program covers everything from foundational programming skills in Python to advanced visualization in Tableau, tailored for beginners and professionals alike. Learn each tool’s distinct capabilities and learn how to integrate them to analyze, visualize, and make data-driven decisions.
Basic Python
Start your journey with Python by covering programming fundamentals, including variables, operators, data types, and data collections. Explore core features and become proficient in handling strings, using control structures, and creating functions. You'll also gain experience with modules, packages, file handling, and web crawling techniques to automate and manage data processes.
Advance Excel
Master data manipulation in Excel, from basic formatting to advanced formulas. Learn conditional formatting, data filtering, pivot tables, and charts to create detailed reports. With Excel’s financial, logical, and mathematical functions, you’ll be able to perform complex calculations effortlessly.
MySQL
Gain essential skills in database management with MySQL. Start with the basics of database creation, table management, and data queries. Progress to advanced operations like joining tables, managing transactions, and handling duplicates to streamline data storage and retrieval.
Power Bi
Get hands-on experience with Power BI for visualizing data in engaging, interactive formats. Learn to create various chart types, work with maps, and blend data from different sources. Build dynamic dashboards and stories to present your data insights effectively, making complex data understandable and accessible.
What Will You Learn
A comprehensive curriculum designed to cover all essential aspects of data analysis:
- Understand the fundamentals of data analytics and its applications in various industries
- Learn about the data analysis lifecycle: collection, cleaning, processing, analysis, and visualization
- Techniques to clean and preprocess raw data for analysis
- Handle missing data, outliers, and data inconsistencies using tools like Excel and Python
- Perform exploratory data analysis to identify trends, patterns, and outliers in datasets
- Use Python and R libraries such as Pandas, NumPy, and Matplotlib for EDA
- Learn descriptive and inferential statistics to draw meaningful insights from data
- Master concepts like correlation, regression, and hypothesis testing
- Create interactive dashboards and visualizations using Tableau and Power BI
- Use Python libraries like Seaborn and Plotly to design professional graphs and charts
- Learn advanced Excel techniques for sorting, filtering, and analyzing data
- Use pivot tables, advanced formulas, and macros for automated data analysis
- Master SQL to extract, filter, and manipulate data from relational databases
- Learn how to write complex SQL queries and optimize database performance
- Learn Python programming for data manipulation and analysis
- Use libraries like Pandas, NumPy, and Scikit-learn to perform in-depth data analysis
Hands-On Projects
Gain real-world experience with hands-on projects:
Python programming for data analysis
Advanced Excel functions and data manipulation
Database management with MySQL
Data visualization and dashboard creation with Power BI
Get Certified and Grow your career
Upon completing the course, receive a Data Analysis Certification from ESS Institute, which will open up opportunities for roles like:
- Data Analyst
- Business Analyst
- Data Scientist (Entry-level)
- Market Research Analyst
Frequently Asked Questions
Look at the most common frequently asked questions of students in 2024-25
The Data Analysis course is completed in 12 months, with flexible schedules to accommodate learners.
Yes, we offer job assistance, including resume building, interview preparation, and connecting you with recruiters in the data analytics field.
You’ll learn Excel, SQL, Python, Power BI, and statistical analysis concepts for data analytics.
- Python: Foundational programming for data analysis
- Excel: Advanced spreadsheet techniques for data management
- MySQL: Relational database management
- Power BI: Visualization and storytelling with data
This course is ideal for graduates, working professionals, and anyone interested in building a career in data analytics or enhancing their data handling skills.
