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CERTIFICATE In DATA ANALYTICS COURSE(M-DAC-7151)

  • Last updated Dec, 2025
  • Certified Course
₹18,000 ₹20,000
  • Duration6 Months
  • Enrolled0
  • Lectures150
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

The Data Analytics Course teaches essential skills for analyzing, visualizing, and interpreting data using Excel, SQL, Power BI, and Python fundamentals. Students learn data cleaning, dashboards, queries, reports, and real business projects. With hands-on practice, this course prepares learners for roles like Data Analyst, MIS Executive, Business Analyst, and Reporting Specialist in modern data-driven workplaces.


Who This Course Is For

  • Students wanting to start a career in data analytics
  • Job seekers preparing for MIS/Data Analyst roles
  • Working professionals needing reporting skills
  • Commerce, IT, Engineering, and Management students
  • Beginners with no coding or analytics background
  • Anyone wanting to learn dashboards, SQL, and business reporting


Why Choose This Course

  • Covers Excel, SQL, Power BI, Looker Studio & Python basics
  • Real datasets and business case studies
  • Learn dashboards, reports, KPIs, and data cleaning
  • SQL queries for data extraction and analysis
  • Power BI visualizations & interactive dashboards
  • In-demand skills for high-growth data roles
  • Hands-on projects + mock tests + certification


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Course Syllabus

Module 1: Excel for Data Analysis

  • Day 1: Introduction to Data Analytics and Job Roles
  • Day 2: Understanding Data Types and Business Use Cases
  • Day 3: Excel Interface and Navigation
  • Day 4: Cell Formatting, Data Entry, Fill Series
  • Day 5: Basic Functions – SUM, AVERAGE, MIN, MAX
  • Day 6: Text Functions – LEN, TRIM, CONCAT, LEFT, RIGHT
  • Day 7: Logical Functions – IF, AND, OR, NOT
  • Day 8: Lookup Functions – VLOOKUP, HLOOKUP
  • Day 9: Nested IF & IFS with Range Lookups
  • Day 10: COUNTIF, SUMIF, AVERAGEIF
  • Day 11: Data Validation and Dropdown Menus
  • Day 12: Conditional Formatting Techniques
  • Day 13: Sorting and Filtering Complex Data
  • Day 14: PivotTables – Grouping & Summarization
  • Day 15: Pivot Charts and Interactive Filters
  • Day 16: Data Cleaning – TRIM, CLEAN, Remove Duplicates
  • Day 17: Date & Time Functions – DATEDIF, EOMONTH, TODAY
  • Day 18: Excel Dashboard Design Principles
  • Day 19: Mini Project – Sales Dashboard
  • Day 20: Practice and Evaluation
  • Day 21–25: Case Studies – Marketing, HR, Inventory
  • Day 26–30: Internal Test + Dashboard Submission


Module 2: SQL for Data Queries

  • Day 31: Introduction to Databases and SQL
  • Day 32: SELECT Statement and Filtering with WHERE
  • Day 33: Logical Operators – IN, LIKE, BETWEEN
  • Day 34: Sorting and Limiting Results
  • Day 35: Aggregate Functions – COUNT, SUM, AVG
  • Day 36: GROUP BY and HAVING Clause
  • Day 37: JOINS – INNER, LEFT, RIGHT
  • Day 38: Combining Tables using JOINS
  • Day 39: Subqueries and Nested SELECT
  • Day 40: CASE Statements and Conditional Logic
  • Day 41: Working with Dates and Aliases
  • Day 42: Creating and Modifying Tables
  • Day 43: Inserting, Updating, Deleting Data
  • Day 44: Project – E-commerce Order Analysis
  • Day 45: Mini Assignment – HR Data Reporting
  • Day 46–50: Practice on Live Datasets
  • Day 51–60: Internal Test + Project Presentation


Module 3: Python for Data Analysis - Module 4: Power BI & Looker Studio - Module 5: Capstone + Placement Prep


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Course Fees

Course Fees
:
₹20000/-
Discounted Fees
:
₹ 18000/-
Course Duration
:
6 Months

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