Data Analytics Course Overview
This Data Analytics course is designed to take you from the fundamentals to advanced data analysis concepts. Learn how to collect, process, and interpret data to generate actionable insights. Gain hands-on experience with real-world datasets and tools to build a strong career in Data Analytics and Business Intelligence.
What You'll Learn in This Course:
- Understand the fundamentals of data analytics and data-driven decision making
- Learn data cleaning, processing, and transformation techniques
- Perform data analysis using Excel, SQL, and Python libraries like Pandas and NumPy
- Create data visualizations using Matplotlib, Seaborn, and Power BI/Tableau
- Prepare for Data Analytics roles in IT, corporate, and research sectors
By the end of this Data Analytics course, you will confidently analyze datasets, implement analytical solutions, and derive actionable insights to support business and research decisions.
Course Content
- Introduction to Data Analytics
- Data Types and Sources
- Data Architecture Basics
- Role of Data in Business Decision-Making
- Data Privacy and Security Principles
- Role-based Access Control (RBAC)
- Data Ethics and Compliance (GDPR, HIPAA)
- Audit Trails and Data Lineage
- ETL vs ELT Processes
- Building Data Pipelines (Airflow, Apache NiFi)
- Introduction to MLOps
- Version Control (Git) for Data Projects
- Infrastructure as Code (IaC) for Data Workflows
- Statistical Modeling and Hypothesis Testing
- Machine Learning Basics
- Why Python for Data Analytics?
- Installing Python and Jupyter Notebook
- Basic Syntax, Variables, and Data Types
- Conditional Statements and Loops
- Functions and Modules, Exception Handling
- Lists, Tuples, Sets, and Dictionaries
- Comprehensions (List, Dict, Set)
- String Manipulation, Working with Date and Time
- NumPy – Numerical Computing
- Introduction to Pandas
- Reading/Writing Data (CSV, Excel, JSON)
- Data Cleaning and Preprocessing
- Handling Missing Data, Filtering and Sorting Data
- Data Visualization (Matplotlib, Seaborn)
- Exploratory Data Analysis (EDA)
- Descriptive Statistics, Probability Distributions
- Hypothesis Testing, Correlation and Covariance
- What is a Database?
- Role of SQL in Data Analytics
- RDBMS (Relational Database Management System)
- Installing MySQL & MySQL Workbench
- Connecting to a Database
- SELECT Statement, Filtering Data using WHERE
- Logical Operators: AND, OR, NOT
- Sorting Data with ORDER BY, Using LIMIT for Sampling
- Data Types in MySQL (INT, VARCHAR, DATE, etc.)
- INSERT, UPDATE, DELETE Statements
- NULL Values Handling, Aliases (AS)
- Built-in Functions (String, Date, Numeric)
- COUNT(), SUM(), AVG(), MIN(), MAX()
- GROUP BY Clause, HAVING vs WHERE
- Aggregation with Multiple Columns
- Joins and Relationships
- Data Transformation & Cleaning
- Connecting MySQL with Analytics Tools
- Interface and Navigation of Excel
- Data Types & Formatting
- Basic Formulas and Functions (SUM, AVERAGE, COUNT)
- Removing Duplicates, Find & Replace, Text to Columns
- Data Validation, Handling Missing or Incorrect Data
- Logical and Lookup: VLOOKUP, HLOOKUP, INDEX-MATCH
- Date & Time Functions, Text Functions: LEFT, RIGHT, MID
- Sorting & Filtering, Conditional Formatting, Pivot Tables
- Visualization in Excel
- Installing and Setting Up Power BI Desktop
- Importing Data (Excel, CSV, SQL, Web, etc.)
- Data Cleaning using Power Query Editor
- Removing Errors & Duplicates
- Merging and Appending Queries
- Data Modeling & DAX
- Visualizations in Power BI
- Power BI Dashboards & Publishing
- Advanced Excel Techniques (Power Query, Power Pivot, VBA, Solver)
- Writing Efficient SQL Queries for Business Reporting
- Complex Joins, Subqueries, and Window Functions in SQL
- Basic Data Modeling: Star Schema, Snowflake Schema, Fact & Dimension Tables
- Creating Interactive Dashboards in Power BI and Tableau
- Using DAX Formulas for Custom KPIs in Power BI
- Basic Statistical Analysis: Hypothesis Testing (t-test, chi-square), Regression Analysis
- Time Series Forecasting and Scenario / What-if Analysis
- Automation of Reports and Workflows with Macros and Power Automate
- Business KPIs & Metrics Understanding (Sales, Marketing, Finance, HR)
- Business Case Analysis & Decision Making (ROI, Cost-Benefit, A/B Testing)
- Strategic Frameworks: SWOT, PESTEL, Porter’s 5 Forces
- Stakeholder Communication & Data Storytelling for Business Impact
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