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Data Analytics

Data Analytics Course Syllabus

Overview

Introduction to Data Analytics
  • Overview of Data Analytics
  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Importance and Applications of Data Analytics in Various Industries
  • Data Analytics Lifecycle
  • Tools and Technologies Used in Data Analytics
Python Basics
  • Introduction to Python
  • Basic Python Syntax and Data Types (Strings, Lists, Tuples, Dictionaries)
  • Conditional Statements and Loops
  • Functions and Modules
  • File Handling in Python
  • Error Handling and Debugging
  • Introduction to Jupyter Notebooks
Python Libraries for Data Analytics
  • Introduction to Key Python Libraries: Pandas, NumPy, Matplotlib, Seaborn
  • Data Manipulation with Pandas
  • Working with DataFrames
  • Data Visualization with Matplotlib and Seaborn
  • Data Aggregation and Grouping using Pandas
  • Statistical Analysis with SciPy and Statsmodels
Data Collection and Management
  • Data Collection Methods
  • Data Sources: Structured, Semi-Structured, and Unstructured Data
  • Data Storage Systems and Databases (SQL vs NoSQL)
  • Introduction to Data Warehousing
  • Data Cleaning and Preprocessing Techniques
  • Handling Missing Data
  • Data Transformation and Normalization
Statistical Methods for Data Analytics
  • Descriptive Statistics: Mean, Median, Mode, Standard Deviation
  • Probability and Distribution
  • Hypothesis Testing and Confidence Intervals
  • Correlation and Causation
  • Regression Analysis: Linear and Logistic Regression
  • Statistical Inference and Sampling Methods
MySQL Database
  • Introduction to Relational Databases and SQL
  • SQL Queries: SELECT, INSERT, UPDATE, DELETE
  • Filtering and Sorting Data with SQL
  • Join Operations: Inner Join, Left Join, Right Join, Full Join
  • Aggregate Functions and Grouping in SQL
  • Subqueries and Nested Queries
  • Database Design and Normalization
Data Visualization
  • Importance of Data Visualization
  • Types of Data Visualizations: Charts, Graphs, and Dashboards
  • Tools for Data Visualization: Excel, Tableau, Power BI, Python Libraries
  • Creating Effective Visualizations: Choosing the Right Chart
  • Interactive Dashboards and Reports
  • Best Practices for Data Visualization
Power BI
  • Introduction to Power BI
  • Data Import and Transformation in Power BI
  • Data Modeling and Relationships
  • Creating Visualizations and Dashboards
  • Power BI Service and Report Sharing
  • DAX Functions for Advanced Calculations
  • Power Query for Data Transformation
Advanced Excel
  • Excel Functions and Formulas for Data Analysis
  • Pivot Tables and Pivot Charts
  • Data Validation and Conditional Formatting
  • Power Query for Data Transformation
  • Data Analysis with Excel Add-ins (Power Pivot, Solver, etc.)
  • Excel for Statistical Analysis and Visualizations
Machine Learning for Data Analytics
  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Classification Algorithms: Decision Trees, Random Forest, KNN
  • Regression Algorithms: Linear Regression, Support Vector Regression
  • Clustering Algorithms: K-Means, Hierarchical Clustering
  • Model Evaluation and Validation: Cross-Validation, Confusion Matrix, ROC Curve
  • Introduction to Deep Learning (optional for advanced students)
Bonus Topics
  • Introduction to Big Data and Tools (Hadoop, Spark)
  • Real-time Data Analytics and Streaming Data
  • Introduction to Natural Language Processing (NLP)
  • Introduction to Time Series Analysis
Data Analytics End-to-End Project
  • Overview of a Data Analytics Project Workflow
  • Understanding Project Requirements and Objectives
  • Data Collection and Preparation for the Project
  • Applying Data Analysis Techniques
  • Building Predictive Models
  • Data Visualization and Reporting Results
  • Presentation of Project Findings

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Upcoming Training Batches

Live Virtual Class

Jan 27 - Apr 25

08:00 PM – 10:00 PM IST

Certified Instructor

Weekday Batches • 51 Sessions 

INR 95,998/-

INR 49,999/-

Live Virtual Class

Jan 27 - Apr 25

08:00 PM – 10:00 PM IST

Certified Instructor

Weekday Batches • 51 Sessions 

INR 95,998/-

INR 49,999/-

Live Virtual Class

Jan 27 - Apr 25

08:00 PM – 10:00 PM IST

Certified Instructor

Weekday Batches • 51 Sessions 

INR 95,998/-

INR 49,999/-

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