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08069289001
Data Analytics Training using Excel, SQL, Python & PowerBI
Live Course
294 interested Geeks
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Course Description
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 Weeks
Still Confused? Get counselled at: +91- 8076609209
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
- 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.
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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 PoweBI for data visualization and reporting
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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Frequently Asked Questions
01
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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