Data Science Program (ICDS) - 8 Months | InTech Computer Institute

Data Science Program

Go from databases and dashboards to AI — MySQL, Tableau, Python libraries, machine learning and data structures & algorithms.

⌛ 8 Months🎓 12th Pass / Appeared🔖 Course Code: ICDS🏆 Certification
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Course Overview

A complete data science track that starts with databases and visual analytics, then moves into Python, statistics and machine learning, finishing with projects and case studies.

The program has five modules — MySQL, Tableau, Python Libraries, AI & Machine Learning, and Data Structures & Algorithms.

What You'll Learn

  • Design databases and write complex queries in MySQL
  • Build dashboards and advanced charts in Tableau
  • Analyse and visualise data in Python with Matplotlib and Seaborn
  • Publish Python analytics on the web with Django
  • Statistics, EDA, time series and supervised & unsupervised learning
  • Data structures and algorithms — complexity, trees, graphs, sorting

Curriculum

  • Installation & Configuration
  • Using Tool – MySQL Workbench
  • Design Database / Constraints
  • Indexes / CRUD Operations
  • Select Queries / Functions
  • Groups / Joins / Views & Inline Views
  • Subqueries / Complex Queries
  • Creating Professional ER Diagrams
  • Tableau Interface
  • Date Aggregations & Date Parts
  • Chart Types (Visualization)
  • Advanced Visualization
  • Run Time Columns
  • Data Formatting / Dashboards
  • Advanced Functionalities
  • Filters / Advanced Charts
  • Data Analytics in Python
  • Data Visualization in Python
  • Installing Libraries / Matplotlib
  • Seaborn / Charts & Plots
  • Dashboards / Project
  • Using Django to Publish Python Analytics
  • Visualization Results on Web
  • Statistics & Exploratory Data Analysis (EDA)
  • Time Series Forecasting
  • Supervised Learning
  • Unsupervised Learning
  • Model Improvement & Validation
  • Use of Algorithms
  • Projects / Case Studies
  • Big O Notation
  • Space & Time Complexity
  • Algorithms of Data Structures
  • Tree / Graphs / Queue / List
  • Basic Dynamic Programming
  • Euclid's GCD Algorithm
  • Naive String Searching
  • Recursion & Sorting

Tools & Technologies

MySQLMySQL WorkbenchTableauPythonMatplotlibSeabornDjangoMachine Learning

Career Outcomes

Data Analyst
Junior Data Scientist
ML Engineer (Entry)
Business Intelligence Analyst

Who This Course Is For

  • Eligibility: 12th Pass / Appeared
  • Graduates and final-year students aiming for a data career
  • Working professionals moving into analytics or AI roles
  • Anyone comfortable with basic maths who wants hands-on ML skills

Course FAQs

No. We start from Python basics and build the statistics you need step by step. Comfort with school-level maths is enough to begin.
Yes. Every module has practical labs, and the course ends with an individual capstone project using a real-world dataset that you can present to employers.
An industry-recognised Data Science & Analytics with AI completion certificate from InTech, plus a portfolio of projects.
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