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Data Analytics Training using Excel, SQL, Python & PowerBI
53k+ interested Geeks
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Unlock the power of data! Elevate your expertise with our Mastering Data Analytics Course. Gain proficiency in Python, SQL, Excel, and Tableau for data analysis, visualization, and reporting. Explore hands-on real-world projects and much more.
Beginner to Advance12 Weeks6 Seats Left
53k+ interested Geeks
Get Extra 45% Off on this LIVE Course!!!
Batch Closing This Saturday!!!
For further queries reach us via Call/WhatsApp at: +91-9717109852
Course Overview
Key Highlights:
- 2 Live Classes Every Week
- 30+ hours of Beginner to Advanced Self-Paced Content
- Work on Multiple Real-Life Projects and implementation
- Industry Recognized Certificate
- Articles to supplement the learning experience
- Learn industrial tools including Pandas, Jupyter, Numpy, Excel, SQL, Tableau, and more
- Hands-on practice with Real-World Datasets
- Additional Content Including Certification Course Questions to help you get an idea of what types of question these certification asks for
- Career Guidance: Receive guidance on career opportunities and the next steps in your Data Analytics journey as a Data Analyst, Business Analyst, Quality Assurance Analyst, or Market Research Analyst
Projects:
- E-Commerce Product Analysis with Excel & Python
- Analyzing the Movie Industry with SQL
- Analysing Food Industry
- 100K Books Analysis
Enroll now and gear yourself up with the skill set required to advance your career in Data Analytics.
NOTE - All sales are final, no refunds will be provided for offline and live courses.However, if needed, participants may be allowed to shift to a different batch of the same course, subject to availability and course policies (from 1st June).
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What you will learn
What you will learn
- Learn the basics of the Python Programming Language
- Understand how to work with files, JSON, Numpy, and OS using Python
- Learn how to use Jupyter for data analysis and visualization
- Use Pandas to manipulate and analyze data
- Learn basic statistics and data preprocessing techniques for data analysis
- Build projects using data analysis techniques
- Understand the basics of Excel and SQL for data management and analysis
- Learn how to use PowerBI for data visualization and reporting
- Supplementary Certification Questions materials provided for certifications such as Google, AWS, and IBM.
Course Content
01Week 1: Excel
Day 1: Introduction to Excel for Data Analysis
- Overview of Excel interface
- Basics of navigating and working with sheets
- Introduction to cells, rows, columns, and ranges
- Understanding basic functions (SUM, AVERAGE, COUNT)
- Working with mathematical and statistical functions
- Introduction to text functions for data manipulation
Day 2: Advanced Formulas and Functions
- Working with logical functions (IF, AND, OR)
- Exploring lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
- Introduction to array formulas
- Identifying and handling missing data
- Removing duplicates and dealing with errors
- Text-to-columns and data-splitting techniques
- Formatting data for analysis
- Creating basic charts and graphs
- Tips for effective data presentation
- Introduction to PivotTables for dynamic data analysis
- Creating PivotCharts for visual insights
- Customizing and formatting PivotTables and PivotCharts
- Time-saving shortcuts and productivity hacks
- Excel with AI
02Week 2: SQL
Day 1: Introduction to SǪL and Database Fundamentals
- Overview of SǪL and its applications
- Introduction to Relational Databases
- Basic SǪL syntax and structure
- Creating and modifying tables with CREATE and ALTER
- Understanding data types and constraints
Day 2: Retrieving Data with SELECT Statements
- Basics of SELECT statements
- Filtering data with WHERE clause
- Sorting results with ORDER BY
03Week 3: Advanced SǪLTechniques
Day 1: Aggregation and Grouping
- Understanding aggregate functions (SUM, AVG, COUNT)
- Grouping data with GROUP BY
- Working with complex WHERE conditions
- Using operators (AND, OR, NOT, etc)
Day 2: Window Functions and Analytic Ǫueries
- Introduction to window functions
- Performing analytic queries with OVER clause
04Week 4: Advance SǪL
Day 1: Joins and Subqueries
- Performing INNER and OUTER joins
- Using subqueries for complex queries
Day 2: Case Statements and CTE Ǫueries
- Understanding and using CASE statements in SǪL
- Applying CASE statements in data analysis scenarios
- Introduction to Common Table Expressions
- Using CTEs for recursive queries and data manipulation
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Reviews and Ratings
Yash Saxena
Placed at LTIMindtree
This was the best course ever on data analytics that I purchased. From the documentation part to the video lectures, all was very good. Though I found the course content slightly basic, I would recommend members of GFG update the course contents to the intermediate level. It would be great. Thanks for taking my views. I was placed at LTIMindtree as a software engineer.
Reviews and Ratings
This was the best course ever on data analytics that I purchased. From the documentation part to the video lectures, all was very good. Though I found the course content slightly basic, I would recommend members of GFG update the course contents to the intermediate level. It would be great. Thanks for taking my views. I was placed at LTIMindtree as a software engineer.
The course was very good to understand basic to Advance .
This course played a key role in my promotion at TCS. The Python section was especially clear and unique. Overall, it was a fantastic experience with well-curated hands-on exercises.
I have gained a great deal of knowledge from this course, many of which are applicable to current industrial initiatives. I begin working as a developer and then go into data analysis with this training.
This course has truly been a game-changer for me in developing my data analytics skills. I’ve learned how to work with large datasets effectively, identify and extract key insights, and use those insights to make smarter and more informed decisions. The concepts are explained in a way that’s easy to understand, and the practical exercises helped me apply what I learned in real-world scenarios. From data cleaning to visualization and analysis, every aspect was covered in depth. It’s a well-structured course packed with valuable content that has boosted my confidence and prepared me for real challenges in data analytics!
I learned skills such as SQL, Python, advanced Excel, and Power BI, progressing from basics to a level where I could successfully crack interviews. The mentor excelled at simplifying complex topics. Overall, this course helped me launch my analytical career.
Frequently Asked Questions
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Is there any online course material available with this course?
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How will these classes be conducted?
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Is there any number to contact for query?
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When can i access the recorded session of the class (if someone misses the live class)?
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Do we have doubt support in this program?
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