Data Analytics Complete Course: Excel, Power BI & Python

Data Analytics Complete Course: Excel, Power BI & Python

Data Analytics Complete Course

About the Data Analytics Complete Course

The Data Analytics Complete Course is designed for students and professionals looking to build a career in data industry. This practical training covers essential corporate tools: Microsoft Excel for data modeling, SQL for database querying, Power BI for interactive dashboards, and Python for automated data analysis. By mastering Excel, Power BI, and Python together, you build the exact skill set modern industries demand.

What you’ll learn in this Data Analytics Complete Course

  • Clean and organize messy data for business analysis.
  • Use advanced Excel formulas and functions efficiently.
  • Create interactive professional reports and dashboards.
  • Understand database concepts and structure.
  • Perform basic and advanced SQL queries.

Career Opportunity

After completing this Data Analytics Complete Course, students can apply for:

  • MIS Executive
  • Data Analyst
  • Reporting Executive
  • Junior Data Analyst
  • Data Analyst Trainee

Requirement

  • Basic Computer and MS Office Knowledge Required.
  • Laptop/Desktop recommended for regular practice.

Course Content & Detailed Syllabus

Module 1: Introduction to Data Analytics

  • What is Data Analytics?
  • Types of Analytics
  • Role of Data Analyst
  • KPI & Metrics Basics
  • Business Use Cases

Module 2: Advanced Excel Fundamentals

  • Tables & Structured References
  • Workbook Management
  • Advanced Formatting
  • Named Ranges
  • Data Organization

Module 3: Advanced Excel Formulas & Functions

  • Lookup Functions
    • VLOOKUP
    • HLOOKUP
    • XLOOKUP
    • INDEX MATCH
  • Logical Functions
    • IF
    • IFS
    • AND
    • OR
    • IFERROR
  • Text Functions
    • LEFT
    • RIGHT
    • MID
    • LEN
    • CONCAT
  • Date & Time Functions
    • TODAY
    • NOW
    • DATEDIF

Module 4: Data Cleaning & Preparation

  • Remove Duplicates
  • Flash Fill
  • TRIM
  • Text to Columns
  • Data Validation
  • Conditional Formatting

Module 5: Pivot Tables & Dashboard Reporting

  • Pivot Table Creation
  • Pivot Charts
  • Slicers
  • Dynamic Reports
  • KPI Dashboards
  • Sales Dashboard
  • HR Dashboard

Module 6: Basic SQL & Database Concepts

  • Introduction to Database
  • Tables & Relationships
  • Basic SQL Queries
  • SELECT
  • WHERE
  • ORDER BY
  • GROUP BY
  • COUNT, SUM, AVG

Module 7:  Statistics & Business Analytics

  • Mean, Median, Mode
  • Standard Deviation
  • Variance
  • Correlation
  • Trend Analysis
  • Forecasting Basics

Module 8: Power BI Fundamentals

  • Power BI Interface
  • Data Import
  • Data Connections
  • Data Modeling Basics

Module 9: Power BI Query & Data Transformation

  • Power Query Editor
  • Data Cleaning
  • Merge Queries
  • Append Queries
  • Data Transformation Techniques

Module 10: Power BI Data Modeling & Relationships

  • Table Relationships
  • Schema Understanding
  • Data Types
  • Relationship Management

Module 11: Power BI Data Visualization & DAX

  • Visualization Topics
    • Bar Charts
    • Pie Charts
    • KPI Cards
    • Matrix Tables
    • Maps
    • Gauge Charts
  • DAX Functions
    • CALCULATE
    • SUMX
    • FILTER
    • IF
    • Time Intelligence Functions

Module 12: Power BI Interactive Dashboard Development

  • Interactive Dashboards
  • Filters & Slicers
  • Drill Through Reports
  • Dashboard Optimization
  • Report Publishing (Learn more about visualization tools on the official Microsoft Power BI Website)

Module 13: Power BI Statistics & Business Analytics

  • Mean, Median, Mode
  • Standard Deviation
  • Variance
  • Correlation
  • Trend Analysis
  • Forecasting Basics

Module 14 : Project Work

  • Employee Salary Analysis 
  • Sales Analysis Dashboard
  • Attendance Tracker
  • Inventory Management 

Teaching Methodology

  • Practical Computer Training
  • Step-by-Step Learning
  • Live Demonstrations
  • Daily Practice Sessions
  • Project-Based Learning
  • Doubt Solving Sessions
  • Real-Life Examples 

Certification Criteria

  • 75% Attendance Completion
  • Assignment Submission
  • Successful Project Submission
  • Final Evaluation Completion

Software and Tools Used

Software / ToolPurpose
Microsoft ExcelData Analysis & Reporting
SQLDatabase Querying
Power BIDashboard & Visualization

Why Choose Cloudiofy?

  • Beginner-Friendly: Learn from scratch with no prior coding required.
  • 100% Practical: Focus on live coding, real-time practice, and projects.
  • Flexible & Affordable: High-quality training with budget-friendly fees and flexible batches.
  • Offline Classes in Jabalpur: Direct face-to-face learning available at our classroom training center in Jabalpur.
  • Personal Attention: Small batches with dedicated doubt-solving sessions.
  • Explore More: In the AI era, Python is an essential programming skill. Explore our Python Course at Cloudiofy and build a future-ready tech career.

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