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Data Science

Data Analytics with Power BI

Become a job-ready data analyst with hands-on training in Excel, SQL, and Microsoft Power BI — including DAX, data modelling, and interactive dashboards.

4.6 (2,100 Reviews)
7+Learners
4.6Rating
75Days
65Lectures
Eswar
Eswar
Last Updated: August 27, 2026
Description

Become a data analyst with hands-on training in Excel, SQL, and Microsoft Power BI. Learn DAX, Power Query, data modelling, and storytelling through interactive dashboards. Real-world business case studies included.

Course Requirements
  • Basic computer skills and familiarity with Microsoft Office
  • No prior data or SQL knowledge needed
  • Power BI Desktop (free to download) — Windows only
  • Curiosity and a desire to work with data
What You Will Learn
  • Clean, transform, and analyse data with Excel and Power Query
  • Write SQL queries including joins, aggregations, and window functions
  • Build professional Power BI dashboards from scratch
  • Master DAX measures and time-intelligence calculations
  • Design star-schema data models for optimal report performance
  • Publish and share reports via Power BI Service
  • Implement row-level security for data governance
  • Tell compelling data stories through effective visualisations

Video: Excel Fundamentals & Data Handling
10:00
Video: Logical, Lookup & Reference Functions
10:00
Video: Mathematical, Statistical, Date & Text Functions
10:00
Video: Data Cleaning, Sorting, Filtering & Validation
10:00
Video: Conditional Formatting & Charts
10:00
Video: Pivot Tables, Pivot Charts & Slicers
10:00
Video: Dashboards & Data Summarization
10:00
Video: Power Query & Power Pivot
10:00
Video: Excel Macros & VBA Automation
10:00

Video: Database & RDBMS Fundamentals
10:00
Video: SQL Commands, Data Types & Constraints
10:00
Video: Data Retrieval, Filtering & Sorting
10:00
Video: Aggregations, Grouping & Functions
10:00
Video: Joins & Subqueries
10:00
Video: Stored Procedures & User-Defined Functions
10:00
Video: Window Functions
10:00
Video: DDL, DML & Transaction Control
10:00
Video: Indexes, Views, Unions & Intersections
10:00
Video: Exception Handling & Triggers
10:00

Video: Tableau Fundamentals & Data Sources
10:00
Video: Charts, Maps & Formatting
10:00
Video: Filters & Calculations
10:00
Video: LOD & Table Calculations
10:00
Video: Data Combining: Joins, Relationships, Blending & Union
10:00
Video: Groups, Bins, Sets, Hierarchies & Parameters
10:00
Video: Advanced & Custom Charts
10:00
Video: Analytics: KPI, Reference & Trend Analysis
10:00
Video: Interactive Dashboards & Actions
10:00
Video: Tableau Public
10:00

Video: Power BI Fundamentals & Visualization
10:00
Video: Data Loading & Multiple Data Sources
10:00
Video: Power Query & Data Transformation
10:00
Video: Data Modeling, Relationships & Cardinality
10:00
Video: Filters, Drill-down, Tooltips & Interactions
10:00
Video: DAX: Columns, Measures & Time Intelligence
10:00
Video: Advanced Analytics & Forecasting
10:00
Video: AI Visuals, Q&A & Smart Narrative
10:00
Video: Bookmarks, Buttons & Navigation
10:00
Video: Custom Visuals
10:00
Video: Power BI Service, Publishing & Scheduled Refresh
10:00

Video: R Fundamentals & Data Types
10:00
Video: Operators, Conditions, Loops & Functions
10:00
Video: Data Manipulation with dplyr
10:00
Video: Data Merging & Analysis
10:00
Video: Data Visualization with ggplot2
10:00
Video: Statistical/Data Analysis Workflows
10:00

Video: Python Fundamentals & Data Structures
10:00
Video: Operators, Conditions, Loops & Functions
10:00
Video: Lambda, Modules & Regular Expressions
10:00
Video: Pandas & NumPy
10:00
Video: Data Cleaning & DataFrame Analysis
10:00
Video: Matplotlib & Seaborn Visualization
10:00

Video: Descriptive Statistics
10:00
Video: Probability & Normal Distribution
10:00
Video: Sampling & Central Limit Theorem
10:00
Video: Confidence Intervals & Hypothesis Testing
10:00
Video: ANOVA & Chi-Square
10:00
Video: Data Cleaning, Outliers & Imputation
10:00
Video: Correlation & Data Insights
10:00

Video: AI & ChatGPT Fundamentals
10:00
Video: ChatGPT Applications & Limitations
10:00
Video: AI Types & ChatGPT Architecture
10:00
Video: Analytics & Professional Use Cases
10:00
Video: Prompt Engineering
10:00
Video: Effective Prompt Design & Best Practices
10:00
Eswar

Eswar

(4.7)
4 Courses 7 Enrolled

Senior Full Stack Developer with 10+ years of experience in Python, Django, and cloud infrastructure. Has trained 5,000+ students at top tech bootcamps across India. Previously at Infosys and Flipkart.

4.6

2,100 Students Review

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Reviews (5)
Gaurav Tiwari
Gaurav Tiwari
1 day from now

Excellent content and well-structured curriculum. I landed a job within 2 months of completing this course. Worth every rupee!

Deepika Nair
Deepika Nair
4 days ago

Very practical course with real project experience. The step-by-step approach made it easy to follow even for beginners.

Swathi Reddy
Swathi Reddy
1 month ago

Great value for money. The instructor explains things clearly and the curriculum is logically ordered. Highly satisfied!

Prakash Devi
Prakash Devi
2 months ago

This course completely transformed my understanding. The instructor breaks down complex concepts into digestible lessons. Highly recommend!

Suresh Babu
Suresh Babu
3 months ago

I have taken many online courses but this is by far the most comprehensive and well-taught. The projects are excellent.

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Check Out
  • Instructor: Eswar
  • Level : Beginner
  • Lectures : 65 Lectures
  • Duration: 75 Days
  • Enrolled: 7 Students
  • Language: English
Course Includes
  • Full Lifetime Access
  • Downloadable Resources
  • Certificate Of Completion
  • Community Support
  • 15 Days Money Back Guarantee