Data Analytics
Learn data analysis techniques, SQL, visualization, and business intelligence tools. Ideal for professionals seeking data-driven insights for decision-making.
Placement Assured Program*
Course Details
Instructor:
Industry Analyst with 5+ years of experience
Difficulty Level:
Beginner to Intermediate
Duration:
6 to 7 month
Mode:
Online and offline
Course Content
Phase 1: Foundations of Data Analytics
Data Transformation Using SQL
Develop a strong foundation in SQL for data analytics. Learn to manipulate and transform data efficiently using key SQL concepts and optimization techniques.
- Introduction to SQL Database
- SQL Operators: Joins, Tables, and Variables
- Deep Dive into SQL Functions
- Working with Subqueries
- SQL Views, Functions, and Stored Procedures
- Deep Dive into User-Defined Functions
- SQL Optimization and Performance
- Practice Session
- Case Study
Python Programming
Master Python for data analysis with hands-on practice in essential libraries. Develop skills for data manipulation, visualization, and analytics.
- Introduction to Python and IDEs
- Python Basics
- Python Libraries
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- Seaborn
- Case Study
Phase 2: Statistical and Inferential Analytics
Inferential Analytics
Leverage statistics and analytics to make data-driven decisions. Learn descriptive, diagnostic, and prescriptive analytics with Python.
- Statistics and Descriptive Analytics
- Python for Descriptive, Diagnostic, and Inferential Statistics
- Prescriptive Analytics
Phase 3: Advanced Machine Learning Techniques
Supervised and Unsupervised Learning in ML
Understand core machine learning paradigms and their applications. Explore both structured and unstructured learning methods.
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Machine Learning for Analytics
Build predictive models using machine learning techniques. Learn regression, classification, and clustering methods.
- Introduction to Machine Learning
- Regression
- Classification
- Clustering
Performance Metrics
Evaluate machine learning models using industry-standard metrics to ensure accuracy and reliability.
- Classification Reports – Precision, Recall, F1-score, etc.
- Confusion Matrix – True Positive/Negative, False Positive/Negative Analysis
- Regression Metrics – R², Adjusted R², Mean Squared Error, etc.
Time Series Forecasting
Analyze and forecast time-dependent data trends using time series models.
- Making Use of Time Series Data
- Gathering Insights and Forecasting Solutions
Business Problem Solving, Insights and Storytelling
Learn to translate data into actionable business insights and compelling narratives.
- Business Domains
- Understanding Business Problems and Formulating Hypotheses
- Exploratory Data Analysis for Insights
- Data Storytelling: Presenting Findings Effectively
- Case Study
Phase 4: Data Visualization and Tools
Data Modelling
Enhance data-driven decision-making through feature selection, engineering, and model tuning.
- Feature Selection
- Feature Engineering
- Model Tuning
Visualizations using Power BI
Transform raw data into interactive and insightful visualizations using Power B
- Power BI Basics
- DAX (Data Analysis Expressions)
- Data Visualization with Analytics
- Case Study
Phase 5: Case Studies and Capstone Projects
Data Analytics Capstone Project
Apply your analytics knowledge to a real-world business problem. Work on an end-to-end data analytics project, from data processing to actionable insights.
- Problem Statement and Project Objectives
- Approach for the Solution
- Optimum Solutions
- Evaluation Metrics
- Gathering Actionable Insights
What’s Included
- Hands-on projects
- Certification upon completion
- Access to learning materials
Tools to Master
Requirements
- No prior experience required
- Suitable for business professionals and analysts
3-4 Years after Program
- 17.45 LPA Average CTC
- 550% Hike for experienced professionals
- 320% Hike for freshers & young professionals
Our Alumni work at top companies
Fee Structure
Total Fee: ₹ 1,49,999/-
Introductory Offer: ₹ 99,999/- (+GST)
With our affordable EMI option, your fee can be as low as ₹ 5,555/- month
| Fee | Amount (excl. tax) | Due Date |
|---|---|---|
| Registration Fee | INR 25,000 | To be paid upon the acceptance of the offer letter |
| Remaining fee payable | INR 55,000 | To be paid as per the fee structure given by institution |
| Total | INR 80,000 (+GST) |
10 Guaranteed Interviews
* Subject to the terms & conditions stated in the career service policy
** Based on experience & performance