APOTAC Career Program

Data Science Course

Master the complete data science journey — from Python and SQL to statistics, machine learning, model evaluation and GenAI-powered workflows.

✓Practical Learning✓Real Projects✓Career Support
DS
Data ScienceJob-oriented learning program
Duration4–6 Months
LevelBeginner to Advanced
ToolsPython • SQL • Pandas • Power BI • ML • GenAI
APOTAC CAREER GUIDANCE

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Share your details and our career counsellors will help you understand the right learning path, curriculum and career opportunities.

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Career GuidanceGet guidance based on your goals and background.
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Expert MentorshipUnderstand the course, learning path and projects.
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Placement SupportLearn about interview preparation and career support.
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Why APOTAC

Everything you need to become career-ready.

A structured program combining concepts, tools, practical work and career preparation.

01

Industry-relevant Python, SQL and ML skills

Learn through structured guidance, practical exercises and outcome-focused training.

02

Hands-on datasets and portfolio projects

Learn through structured guidance, practical exercises and outcome-focused training.

03

Statistics and problem-solving foundations

Learn through structured guidance, practical exercises and outcome-focused training.

04

Model building, evaluation and deployment basics

Learn through structured guidance, practical exercises and outcome-focused training.

05

Resume, GitHub and interview preparation

Learn through structured guidance, practical exercises and outcome-focused training.

06

Structured career and placement support

Learn through structured guidance, practical exercises and outcome-focused training.

Course Curriculum

Data Science Course — Syllabus

Learn step-by-step from fundamentals to practical projects and interview preparation.

1

Python for Data Science

Variables, functions, OOP basics, NumPy, Pandas and data manipulation.

2

SQL & Databases

Queries, joins, subqueries, CTEs, window functions and analytical SQL.

3

Statistics & Probability

Descriptive statistics, probability, distributions, hypothesis testing and correlation.

4

Data Cleaning & EDA

Missing values, outliers, feature preparation, exploratory analysis and insight generation.

5

Machine Learning

Regression, classification, clustering, feature engineering and model evaluation.

6

Advanced ML

Ensemble methods, pipelines, tuning, cross-validation and practical model selection.

7

Generative AI for Data Science

LLMs, prompting, AI-assisted analysis and modern productivity workflows.

8

Projects & Interview Prep

End-to-end projects, resume/GitHub guidance, mock interviews and career preparation.

Practical Experience

Build projects you can talk about in interviews.

Apply what you learn to realistic problems and create a stronger portfolio.

01

Customer Churn Prediction

Practical project with requirements, implementation, analysis and presentation.

02

Sales & Business Forecasting

Practical project with requirements, implementation, analysis and presentation.

03

Customer Segmentation

Practical project with requirements, implementation, analysis and presentation.

04

End-to-End Analytics Dashboard

Practical project with requirements, implementation, analysis and presentation.

Career Support

Prepare for the next step, not just the final lesson.

Build confidence with profile guidance, practical assessments, mock interviews and role-focused preparation.

  • ✓ Resume and profile building
  • ✓ Project and portfolio guidance
  • ✓ Mock interview practice
  • ✓ Placement-oriented guidance
Career Paths

Roles you can target

Data ScientistMachine Learning AssociateJunior Data ScientistBusiness/Data AnalystML/AI Intern
FAQs

Frequently Asked Questions

Who can join this data science?

The program is designed for students, freshers and working professionals who want structured, practical skills. The exact starting level depends on the course.

Is the course practical?

Yes. The learning path includes hands-on exercises, practical projects, assessments and interview-oriented preparation.

Will I get career support?

APOTAC provides career-focused guidance including profile building, project guidance, mock interviews and placement-oriented preparation.

How can I get the detailed fee and batch information?

Contact APOTAC for the latest fee, schedule, learning mode and batch availability.

Ready to start your Data Science journey?

Talk to APOTAC to understand the curriculum, batch schedule and career roadmap.

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