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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.
Chasing Big Dreams? FLAT 35% OFF is On — Step In Now Before It’s Gone!
USE CODE : SKILLUP35
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).
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
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
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
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
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