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Data Analytics

Decode the Power of Data. Transform Businesses with Insights.
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  • Introduction to Data Analytics
  • Data Collection & Preparation
  • Data Analysis with Excel & SQL
  • Statistics & Probability for Data Analysis
  • Data Visualization & Reporting

Data Analytics Course Curriculum

It stretches your mind, think better and create even better.

Introduction to Data Analytics

Topics:

  • What is Data Analytics?
  • Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
  • Data Analyst Roles & Responsibilities

Topics:

  • Data Sources & Formats
  • Data Warehousing & Data Lakes
  • Structured vs Unstructured Data

Data Collection & Preparation

Topics:

  • Web Scraping
  • APIs for Data Extraction
  • Databases (SQL/NoSQL)

Topics:

  • Handling Missing Values
  • Data Transformation & Normalization
  • Feature Engineering
  • Data Quality & Integrity

Data Analysis with Excel & SQL

Topics:

  • Pivot Tables & Charts
  • Advanced Excel Functions (VLOOKUP, INDEX, MATCH)
  • Data Visualization in Excel

Topics:

  • Basic Queries (SELECT, WHERE, ORDER BY)
  • Joins & Subqueries
  • Aggregations & Grouping
  • Window Functions

Statistics & Probability for Data Analysis

Topics:

  • Probability Distributions
  • Bayes’ Theorem

Topics:

  • Hypothesis Testing
  • Confidence Intervals
  • ANOVA & Chi-Square Tests

Topics:

  • Correlation & Causation
  • Linear & Logistic Regression

Data Visualization & Reporting

Topics:

  • Tableau / Power BI Basics
  • Dashboards & Interactive Reports

Topics:

  • Choosing the Right Chart
  • Communicating Insights Effectively
Free
Free access this course
  • Level
    Intermediate
  • Total Enrolled
    1
  • Last Updated
    August 29, 2025

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