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Data Analytics Training in Chennai

Credo Systemz offers the best Data Analytics course in Chennai to master analytics with AI-powered training. Gain practical, hands-on experience and build a successful career with advanced data analytics skills.

No 1 Data Analytics Training Institute in Chennai
Data Analytics Course with 100% Placement Support
Data Analytics Training with Free Internship

Flexible Mode of Training

Online Training
Corporate Training
Class Room Training
1V1 / Personal Training

Data
Analytics

Case Studies and Projects15+
Hours of Practical Training80+
Placement Assurance100%
Expert Support24/7
Support & AccessLifetime
CertificationYes

Click here to view detailed Syllabus

Tools covered in the course

Indemand Tools – will be covered during the course to make you a perfect data Analytics

Why choose Data Analytics course from Credo?

Credo Systemz is India’s first AI-driven IT training institute. It has added AI enhancement to its data analytics course in Chennai. Learn the skills of data analytics with AI by joining our live data analytics with AI training in Chennai.

Data Analytics Training in Chennai

Build Your Portfolio with Data Analytics Real-Time Projects

Sales Data Analysis

Analyze past sales data to find trends and revenue patterns. Identify the main factors that drive performance.
How to Segment Customers by Behavior and Demographics

Group customers based on their buying habits and demographics. Use these groups to create targeted marketing strategies.
E-commerce Product Analysis

Evaluate product performance across an e-commerce platform. Identify best sellers, under performers, and opportunities to improve.

Best AI Powered Data Analytics Training Institute in Chennai

Data Analytics Training

Download Syllabus

What is Data Analytics?
Types of Data Analytics
The Data Analytics Process
Importance of Data Analytics in Business
Tools and Technologies in Data Analytics
Real-World Examples
Career scope and job roles in Data Analytics

Introduction to Excel
Understanding Cell Referencing
Basic Arithmetic and Logical Operations
Data Cleaning and Formatting
Data Validation & Drop-downs
Flash Fill and AutoFill
Functions and Formulas
Array Formulas & Dynamic Arrays (FILTER, SORT, UNIQUE)
Pivot Tables and Charts
Slicers and Timelines for Interactive Filtering
Conditional Formatting
Dynamic Formatting Based on Cell Value or Date
Dashboard Creation
Combining Charts, KPIs, and Sparklines
Linking Pivot Tables with Slicers
Introduction to Macros and VBA
Workbook Protection and Data Security

Hands-on Practical Exercises

Clean and Analyze Raw Sales Data
Create Interactive Employee Dashboard
Monthly Report Automation using Formulas and Pivot Tables
KPI Dashboard for Marketing Metrics

Introduction to Oracle Database
Introduction to RDBMS (MySQL, PostgreSQL, SQL Server)
Understanding Tables, Rows, Columns
SQL Syntax, Case Sensitivity, Comments
SQL Commands
Using Aliases
Filtering and Logic
Aggregations & Grouping
Difference between WHERE vs HAVING
Joins – Inner, Left, Right, Full Outer, Self, Cross Join
Subqueries & Nested Queries
Window (Analytic) Functions
DML – Data Manipulation Language
DDL – Data Definition Language
Time Series Analysis
Revenue Analysis with Filters and Joins
Customer Segmentation using SQL

Hands-on Practical Exercises

Create & Query a Sales Database
Build a Regional Revenue Report
Customer Insights
Employee Performance Ranking

Importance of Statistics in Data Analytics
Descriptive Statistics: Mean, Median, Mode, Range, Variance, Std. Deviation
Data Summarization
Data Visualization
Using Visualizations for Outlier Detection
Probability Concepts
Types of Events
Addition & Multiplication Rules
Conditional Probability
Probability Distributions
Central Limit Theorem
Inferential Statistics
Hypothesis Testing
Correlation and Regression
Exploratory Data Analysis with Statistics

Hands-on Practical Exercises

Customer Satisfaction Analysis
Ad Spend vs Sales
Product Quality Check
Delivery Time Comparison

Introduction to Power BI
Installing Power BI Desktop
Power BI Interface
Data Loading & Importing from Various Sources
Understanding Power BI File Types
Power Query – Data Transformation
Cleaning and Shaping Data
Filtering and Sorting Data
Unpivoting and Pivoting Data
Data Modeling
Creating Date Table & Time Intelligence
DAX Basics: SUM, COUNT, DISTINCT, AVERAGE
Logical, Aggregation and Filter Functions
Data Visualization: Bar, Column, Line, Pie, Donut
Advanced Charts: TreeMap, Funnel, Waterfall, Gauge, KPI
Slicers and Filters
Dashboard and Report Design
Power BI Service
Row-Level Security

Hands-on Practical Exercises

Customer Segmentation Report
E-commerce Product Performance
Marketing Campaign Analysis
Sales Dashboard

Introduction to Python
Why Python for Data Analytics?
Python Syntax and Code Structure
Arithmetic & Logical Operators
Conditional Statements
Loops & Functions
Error Handling
Data Structures in Python
NumPy – Numerical Python
NumPy Arrays vs Lists
Statistical Functions: mean(), std(), sum()
Pandas – Data Handling Library
Visual EDA with Pandas
Indexing, Filtering, and Slicing
GroupBy and Aggregations
Sorting, Renaming Columns
Data Cleaning and Preparation
Data Visualization with Python
Statistical Analysis with Python

Hands-on Practical Exercises

Analyze sales data to find top-performing products
Clean messy customer data and find duplicates
Segment customers by spending habits using Pandas
Automate data reports using Python scripting

Handling Missing Data: Imputation, Deletion
Data Normalization and Standardization
Detecting and Handling Outliers
Feature Engineering
EDA: Distribution Analysis, Correlation, Feature Selection

Hands-on Practical Exercises

Clean and prepare a messy dataset for analysis.
Perform a thorough EDA, identifying key trends and insights.

AI for Data Analytics: Automated Insights, Predictive Analytics
Using AI tools like ChatGPT for Data Analysis
AI-Powered Data Wrangling
Predictive Models: Introduction to Basic Machine Learning Algorithms

Hands-on Practical Exercises

Use AI tools to automate data cleaning or feature engineering on a dataset.
Build a simple predictive model using an AI tool.

Flexible Mode of Data Analytics Training and Payment

Combo Offer – Limited Time Only!

Skill Up in Data Analytics – Enroll Before Time Runs Out!

Combo 1 – Foundational Level

SQL
Excel
Python

₹15,000 ₹9,000

Combo 2 – Advanced Level

SQL
Excel
Python
Power BI
Statistics
AI
Preplacement Program
Free Self Paced Course – Cloud Computing

₹60,000 ₹32,000

Testimonials

FAQs – Data Analytics Course in Chennai

Credo Systemz data analytics course in Chennai follows an expert framed course content from scratch. Fundamental Knowledge of mathematics, statistics, programming skills ( Python, R), SQL, Excel will be helpful.

Data Analytics with AI is the process of collecting, cleaning, and analyzing data using Artificial Intelligence techniques like:

Machine learning,
Natural language processing,
Predictive analytics.

As there is an increased growth demand for AI-powered analytics in all industries, Learning AI in data analytics offer:

Ability to handle big data,
Skills to generate real-time insights,
Career opportunities with better salaries,
Higher efficiency and accuracy in decision-making.

Yes. Credo Systemz AI in data analytics training course is well-structured from basics to advanced AI analytics. This course is suitable for beginners as it starts from scratch without prior experience.

Yes, our data analytics course covers the necessary modules to build the knowledge of data analytics in 3 months. The trainers offer live sessions to achieve the industrial skills of data analytics.

According to the Glassdoor report, The total pay for a Data Analyst is ₹5,50,000 per year in the Chennai area. The average salary of any data analyst is ₹5,00,000 per year.

The essential skills required to become data analyst are:

Data Manipulation & Analysis skills include SQL, Excel, Python (Pandas, NumPy)
Knowledge of Data Visualization using Power BI, Tableau, Matplotlib, Seaborn
Statistical Analysis to perform Descriptive & Inferential Statistics
Data Cleaning & Preparation to Handle missing values, data transformation
Business Intelligence to Understand KPIs, dashboards
Machine Learning Basics like Regression and classification.

No, Credo Systemz data analytics course offers structured learning and industrial practice using skilled experts. We focus on Key challenges and provide in-depth training to understand and gain the skills like,

Understanding data structures and SQL
Learning Python or R for data analysis
Mastering statistics and probability
Gaining experience with visualization tools

In data analytics, coding knowledge is not mandatory but beneficial. It depends on the job roles and level of expertise, such as:

For Basic roles, minimal coding is required with Excel, SQL, Power BI/Tableau
Advanced roles need Python (Pandas, NumPy) and R programming knowledge
Big Data roles require Spark, Hadoop, Cloud platforms

Yes, data analytics is a promising career due to various growth opportunities in different sectors like finance, healthcare, marketing, and tech.

As Organizations rely on data-driven decision-making, data analysts are 8n demand with Competitive pay across industries. From data analyst, move on to various job roles like Data Scientist, BI Analyst, or Data Engineer.

Our free demo classes are very useful to understand our data analytics course. It provides a clear picture about

Data analytics curriculum and course plan.
Practical oriented classes and to Interact with the trainers.

To book this data analytics course, Call Us:

Velachery +91-98844 12301

OMR +91-96001 12302

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