What is the best Data Science course in Trichy?

DigiDARA Technologies offers the best Data Science & Analytics course in Trichy featuring a 12-week, 120+ hour curriculum covering Python 3.14, SQL, Power BI Copilot, natural-language-to-SQL, Machine Learning, and AI-assisted analytics workflows.

12-Week Data Science & Analytics Certification

Data Science & Data Analytics

Master Excel, Python 3.14, SQL, Power BI Copilot, natural-language SQL, and Machine Learning across a 12-week, 120+ hour program.

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12 Weeks Intensive Program
120+ Hours, 5 Sessions/Week
DigiDARA Data Science & Analytics Certificate
24 Guided Labs + Capstone

Course Overview

Our Data Science & Data Analytics 12-week (120+ hours) course equips you to extract valuable insights from large datasets. While Data Analytics answers "what happened and why" (SQL, Excel, Power BI), Data Science answers "what will happen and what should we do" (Python, ML, Forecasting).

Analytics & BI

SQL, Power BI DAX, Copilot dashboards & KPI design.

AI-Assisted Tools

Natural-language-to-SQL, automated data cleaning & AI narrative reports.

Machine Learning

Scikit-learn supervised ML, clustering & time series forecasting.

Skills You Will Learn

Statistical Analysis

Python Programming

SQL & Database Management

Data Visualization

Machine Learning

Excel & Analytics

Power BI & DAX

Data Cleaning & Preprocessing

Business Analytics & KPI Design

Natural-Language-to-SQL & AI-Assisted Analytics

Time Series Forecasting

12-Week Curriculum

Structured week-by-week curriculum from Excel & Python to Power BI, natural-language SQL, and Machine Learning:

Week 1

Data Analytics Foundations & Excel

Data analytics vs data science and the analytics workflow; Excel for analysis — formulas, pivot tables, lookups, what-if analysis; KPIs, metrics and AI-assisted Excel with Copilot. Build: Excel Business Dashboard.

Week 2

Python Programming for Analytics

Python syntax, data types, control flow and functions; Jupyter/Colab, Git and GitHub basics; coding with an AI assistant for faster, cleaner scripts. Build: Python Data Processing Script.

Week 3

NumPy, Pandas & Data Handling

NumPy fundamentals (arrays, vectorized operations); Pandas DataFrames, loading, filtering, grouping and merging; working with real-world, multi-source datasets. Build: Data Wrangling Toolkit.

Week 4

Data Cleaning & Preprocessing

Missing values, duplicates and outlier detection; data type conversion, standardization and validation; AI-assisted data cleaning for spotting anomalies faster. Build: Cleaned & Validated Dataset Pipeline.

Week 5

SQL & Database Management

SQL fundamentals — SELECT, JOIN, GROUP BY, subqueries; database design basics — keys, relationships, window functions; natural-language-to-SQL with AI tools. Build: SQL Analytics Project.

Week 6

Statistical Analysis

Descriptive statistics, probability and distributions; hypothesis testing, correlation and confidence intervals; A/B testing fundamentals and statistical storytelling. Build: Statistical Analysis Report.

Week 7

Data Visualization & Storytelling

Matplotlib, Seaborn and core visualization principles; choosing the right chart for the right business question; AI-assisted chart generation and narrative writing. Build: Data Storytelling Report.

Week 8

Power BI & Business Intelligence

Data import, modelling and DAX basics; building interactive dashboards and reports; Power BI Copilot for AI-generated visuals and narrative summaries. Build: Interactive Power BI Dashboard.

Week 9

Business Analytics & KPI Design

Business analytics frameworks and metric design; cohort analysis, funnel analysis and segmentation; translating data into a business decision, not just a chart. Build: Business Analytics Case Study.

Week 10

Machine Learning I — Supervised Learning

Regression and classification with scikit-learn; feature selection and train/test evaluation; model evaluation metrics for business reporting. Build: Predictive Model (Regression/Classification).

Week 11

Machine Learning II — Unsupervised & Forecasting

Clustering and customer segmentation; time series forecasting fundamentals; turning a model into a usable business tool. Build: Customer Segmentation or Demand Forecast.

Week 12

AI-Powered Analytics Capstone

Combining SQL, Python, Power BI and ML into one workflow; AI-assisted analytics — GenAI for analysis, AI dashboard narratives; capstone development and final presentation. Build: End-to-End AI-Powered Analytics Capstone.

Tools & Technologies

Data & Programming

Python 3.14, NumPy & Pandas, SQL, Excel

Visualization & BI

Matplotlib & Seaborn, Power BI & DAX, Power BI Copilot, interactive dashboards

Machine Learning

Scikit-learn, Statsmodels, feature engineering, model evaluation

AI-Assisted Analytics

ChatGPT/Claude for analysis, natural-language-to-SQL, AI dashboard narratives, AI-assisted data cleaning

Capstone Options

Sales & Revenue Analytics Dashboard

Customer Churn Prediction

MSME Business Health Dashboard

Retail Demand Forecasting

HR Attrition Analytics

Healthcare Patient Analytics

Marketing Campaign ROI Analysis

Financial Risk & Fraud Analytics

Note: Every capstone includes: business question, data cleaning, EDA, statistical validation, Power BI/Python dashboard, AI narrative report, and presentation.

Career Opportunities

Data Scientist

₹8-15 LPA

Build machine learning models and extract insights from complex data

Data Analyst

₹5-10 LPA

Analyze business data and create actionable reports and dashboards

Business Intelligence Analyst

₹6-12 LPA

Design dashboards and analytics solutions for key business decisions

Machine Learning Engineer

₹10-20 LPA

Develop and deploy predictive machine learning applications

BI Developer

₹6-14 LPA

Build data models, DAX measures, and enterprise Power BI reporting suites

Analytics Consultant

₹8-16 LPA

Advise enterprise clients on metric frameworks, KPI design, and AI analytics

Assessment & Certification

Assessment Component	Weightage
Weekly Quizzes	10%
Hands-on Labs (24 guided labs)	20%
Mini-Projects (6)	25%
SQL & Statistics Assignment	10%
Final Capstone	30%
Presentation & Viva	5%

Course Details

12 Weeks Intensive Program

120+ Hours, 5 Sessions/Week

DigiDARA Data Science & Analytics Certificate

24 Guided Labs + Capstone

Prerequisites

Basic math and statistics. No prior coding required.

Career Outcomes

Data Scientist, Data Analyst, BI Analyst, BI Developer, Analytics Consultant

Enroll in Data Science Course

Frequently Asked Questions

DigiDARA Technologies offers the best Data Science & Analytics course with a 12-week, 120+ hour curriculum covering Excel, Python, SQL, Power BI Copilot, natural-language-to-SQL, Machine Learning, and real-world AI-powered analytics projects.

Our intensive Data Science & Data Analytics course is designed to be completed in 12 weeks (120+ hours, 5 sessions/week) with live online or offline classes, 24 guided labs, 6 mini-projects, and 1 capstone project.

Yes, Data Science is one of the fastest-growing career fields in India with high demand across industries and excellent salary packages.

After completing the Data Science training, you can pursue roles like Data Analyst, Business Analyst, Data Scientist, BI Developer, Analytics Consultant, and MIS/Reporting Analyst.