Python for Data Analytics & Automation

Free Curriculum21 Comprehensive LessonsSelf-Paced & PracticalIndustry Certificate

Master Python for Data Analytics & Automation with DataCliq's structured, career-ready training track. Learn core foundational concepts, explore production datasets, practice hands-on scripts and interview scenarios, and build job-ready confidence.

Start Course — Lesson 1: Introduction to Python

Who It's For

Aspiring data analysts, BI specialists, engineers, and professionals wanting to automate data workflows and ace data interviews.

Estimated Workload

4–6 weeks self-paced (5–8 hours/week). Includes structured modules, real-world case studies, and coding assignments.

Certification

Earn a verifiable DataCliq course certificate upon completing all lessons, assignments, and capstone challenge.

Prerequisites

No prior programming experience required. We guide you step-by-step from beginner fundamentals to advanced analytics.

Full Course Syllabus

Week 1: Week 111 lessons

1.Introduction to PythonStart →2.Variables and Data TypesStart →3.Control Flow (If/Else)Start →4.Loops (For and While)Start →5.FunctionsStart →6.Python KeywordsStart →7.Object‑Oriented Programming (OOP)Start →8.Constructors in PythonStart →9.Destructors in PythonStart →10.PolymorphismStart →11.The 'in' KeywordStart →

Week 2: Python Data Structures10 lessons

1.Lists in DepthStart →2.Tuples & ImmutabilityStart →3.Dictionaries (Key‑Value)Start →4.Dictionary MethodsStart →5.Sets & OperationsStart →6.List ComprehensionsStart →7.Dictionary ComprehensionsStart →8.String FormattingStart →9.Nested Data StructuresStart →10.Built‑in Functions (map, filter)Start →

Week 3: Data Analysis with Pandas - Basics0 lessons

Week 4: Data Analysis with Pandas - Advanced0 lessons

Week 5: Numerical Operations with NumPy0 lessons

Week 6: Data Visualization & Exploratory Data Analysis0 lessons