Data_Analytics_Course_Overview


COURSE INSTRUCTOR

Teacher_Image

Sandip Gadekar

Data Analytics
★★★★★ (4.9)

Sandip boasts over 5 years of experience in data analytics, specializing in key technologies such as Python, R, SQL, Machine Learning, Deep Learning, and Data Visualization. With a robust foundation in data analysis and predictive modeling, Sandip excels at extracting actionable insights from complex datasets. Their expertise includes building predictive models, applying statistical techniques, and solving real-world data problems. As a passionate educator, Sandip emphasizes hands-on learning and real-world projects, ensuring students acquire practical skills and industry-relevant knowledge in data analytics.

BASIC INFORMATION


  • Duration : 3 Months
  • Level : Basic to Advanced
  • Category : Technology
  • Class Mode : Online/Offline
  • Started : 1st / 15th Every Month
  • Daily Time : 10:00 AM to 4:00 PM
  • Days : Mon - Fri
  • Class Strength: 10 / Per Batch


Course Description

Data Analytics is a high-demand field that helps organizations convert raw data into meaningful insights for smarter business decisions. This course is designed to build your analytical thinking and problem-solving skills using real-world data and industry-standard tools.

You will learn Python, SQL, Excel, Power BI, Tableau, Data Visualization, Statistics, and analytics techniques. Through hands-on training and exercises, you will gain experience in data cleaning, reporting, dashboard creation, and business intelligence.

The course includes live projects, case studies, and internship opportunities to help you develop job-ready skills. By the end of the program, you will be equipped to analyze data, uncover trends, and drive data-driven decision-making across various industries.

Course Syllabus

Module 1: Introduction to Data Analytics

  1. Introduction to Data Analytics
  2. Importance of Data Analytics in Business
  3. Types of Data Analytics
  4. Data Analytics Lifecycle
  5. Understanding Data and Data Sources
  6. Structured vs Unstructured Data
  7. Data Collection Methods
  8. Fundamentals of Statistics for Analytics
  9. Data-Driven Decision Making
  10. Introduction to Business Intelligence (BI)
  11. Overview of Analytics Tools and Technologies
  12. Role of AI in Data Analytics
  13. Industry Applications and Case Studies
  14. Career Opportunities in Data Analytics
  15. Mini Project: Data Analysis Case Study
  1. Introduction to Advanced Analytics
  2. Data Exploration and Data Profiling
  3. Data Cleaning and Data Preparation
  4. Exploratory Data Analysis (EDA)
  5. Descriptive and Diagnostic Analytics
  6. Predictive Analytics Fundamentals
  7. Prescriptive Analytics Concepts
  8. Statistical Analysis Techniques
  9. Hypothesis Testing and A/B Testing
  10. Data Visualization Best Practices
  11. Business Intelligence and Reporting
  12. Introduction to Machine Learning for Analytics
  13. AI-Powered Analytics Tools
  14. Real-World Business Case Studies
  15. Mini Project: Advanced Analytics Dashboard
  1. Introduction to Machine Learning
  2. Machine Learning Types (Supervised, Unsupervised, Reinforcement)
  3. Data Preprocessing and Feature Engineering
  4. Training and Testing Datasets
  5. Regression Algorithms
  6. Classification Algorithms
  7. Clustering Techniques
  8. Model Evaluation and Performance Metrics
  9. Overfitting and Underfitting
  10. Feature Selection and Optimization
  11. Introduction to Scikit-Learn
  12. Predictive Analytics with Machine Learning
  13. AI-Powered Machine Learning Applications
  14. Real-World Machine Learning Case Studies
  15. Mini Project: Predictive Analytics Model
  1. Introduction to Data Visualization
  2. Principles of Effective Data Visualization
  3. Understanding Business Intelligence (BI)
  4. Introduction to Power BI
  5. Power BI Dashboard Creation
  6. Data Modeling in Power BI
  7. DAX Fundamentals and Calculations
  8. Introduction to Tableau
  9. Creating Interactive Reports and Dashboards
  10. Data Storytelling Techniques
  11. Key Performance Indicators (KPIs) and Metrics
  12. Business Reporting and Analytics
  13. Real-Time Dashboard Development
  14. AI-Powered Visualization Tools
  15. Mini Project: Business Intelligence Dashboard
  1. Introduction to Database Management Systems (DBMS)
  2. Relational Database Concepts
  3. Introduction to SQL
  4. Database Design and Normalization
  5. Creating Databases and Tables
  6. SQL Queries (SELECT, INSERT, UPDATE, DELETE)
  7. Filtering, Sorting, and Grouping Data
  8. SQL Joins (Inner, Left, Right, Full)
  9. Aggregate Functions and Data Analysis
  10. Views, Indexes, and Stored Procedures
  11. Subqueries and Common Table Expressions (CTEs)
  12. Data Extraction and Reporting
  13. SQL for Business Analytics
  14. Database Optimization and Performance Tuning
  15. Mini Project: Database Analytics & Reporting
  1. Introduction to Python Programming
  2. Python Installation and Development Environment Setup
  3. Variables, Data Types, and Operators
  4. Control Statements and Loops
  5. Functions and Modules
  6. Object-Oriented Programming (OOP) Basics
  7. Working with Files and Exception Handling
  8. NumPy for Numerical Computing
  9. Pandas for Data Manipulation and Analysis
  10. Data Cleaning and Data Transformation
  11. Exploratory Data Analysis (EDA) using Python
  12. Data Visualization with Matplotlib and Seaborn
  13. Introduction to Machine Learning with Scikit-Learn
  14. Automating Data Analysis Tasks
  15. Mini Project: End-to-End Data Analytics Project
  1. Introduction to Artificial Intelligence (AI)
  2. AI in Data Analytics and Business Intelligence
  3. Generative AI Fundamentals
  4. Introduction to Machine Learning for Analytics
  5. Predictive Analytics with AI
  6. AI-Powered Data Visualization
  7. Automated Data Cleaning and Preparation
  8. Natural Language Processing (NLP) Basics
  9. ChatGPT and AI Tools for Data Analysis
  10. AI-Driven Business Insights and Forecasting
  11. AI Automation for Reporting and Dashboards
  12. Ethical AI and Responsible Data Usage
  13. Real-World AI Analytics Use Cases
  14. Building AI-Powered Analytics Solutions
  15. Mini Project: AI-Based Business Analytics System
  1. Introduction to Real-Time Industry Projects
  2. Business Problem Identification and Analysis
  3. Project Planning and Requirement Gathering
  4. Data Collection and Preparation for Projects
  5. End-to-End Data Analytics Project Development
  6. Business Intelligence Dashboard Project
  7. Customer Analytics and Market Research Project
  8. Sales and Revenue Analytics Project
  9. AI-Powered Analytics Case Study
  10. Industry Internship and Practical Training
  11. Project Documentation and Reporting
  12. Presentation and Stakeholder Communication
  13. Resume Building and LinkedIn Optimization
  14. Mock Interviews and Career Preparation
  15. Final Capstone Project and Portfolio Development

Real-World Student Projects


Explore the outstanding student projects and practical work, showcasing their skills and creativity in real-world scenarios. Discover how our students apply their knowledge through innovative and hands-on experiences.

Personalized_Data_Analytics_Course_Guidance

One-To-One Data Analytics Course Guidance

Our 1-to-1 guidance for the Data Analytics course offers a highly personalized learning experience with a 100% placement guarantee. Tailored to your individual needs, this course provides expert instruction on data cleaning, visualization, and statistical analysis. Benefit from hands-on projects that apply real-world data to solve practical problems. Our mentors offer targeted feedback and support, while our dedicated placement team helps you navigate job applications, optimize your resume, and prepare for interviews. With this comprehensive approach, you’ll develop the skills and confidence needed to excel in data analytics and secure a position in the competitive job market. Customized Curriculum: Learning plan designed to align with your experience level and career goals. Direct access to seasoned data analysts for personalized guidance.

  • Personalized Curriculum
  • Expert Mentorship
  • Practical Projects
  • Skill Development
  • Portfolio Creation
  • Placement Support
Sandip_Gadekar_Founder_and_Director

Sandip Gadekar

Founder and Director

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