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Data Scientist Certification

Unlock the power of data—transform numbers into strategies with Data Science skills used by top companies.

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What You’ll Learn

Data wrangling and cleaning techniques

Python & R for data ananlysis

Machine learning models and predictive analytics

Visualization with Python, Tableau & Power BI. Change

Modules

Programming Essentials – 18 Hours

  • Fundamentals of Programming
  • Introduction to Python Programming
  • Python Data Types and Operators
  • Conditional Statements and Loops in Python
  • Python Functions
  • Object-Oriented Programming Concepts with Python
  • Threading

SQL Course – 24 Hours

  • SQL Statements
  • Restore and Back-up
  • Selection Commands – Filtering & Ordering
  • Aggregate Commands
  • Group By Commands
  • Conditional Statements
  • Joins
  • String Functions
  • Mathematical Functions
  • Date and Time Functions
  • Pattern (String) Matching
  • User Access Control Functions

Applied Data Science with Python – 36 Hours

  • Introduction to Data Science
  • Essentials of Python Programming
  • NumPy
  • Linear Algebra
  • Statistics Fundamentals
  • Probability Distributions
  • Advanced Statistics
  • Working with pandas
  • Data Analysis
  • Data Wrangling
  • Data Visualization
  • End-to-End Statistics Applications in Python

Machine Learning using Python – 48 Hours

  • Machine Learning
  • Supervised Learning
  • Regression and its Applications
  • Classification and its Applications
  • Unsupervised Learning
  • Ensemble Learning
  • Recommendation Systems

Tableau Desktop Specialist Training – 32 Hours

  • Introduction to Data Visualization
  • Overview of Tableau
  • Tableau Workspace and Different Chart Types
  • Creating Charts and Data Preparation Techniques
  • Effective Data Preparation Techniques
  • Working with Filters and Analytics in Tableau
  • Building Dashboards in Tableau

R Programming for Data Science – 8 Hours

  • R Basics
  • Data Structures in R
  • R Programming Fundamentals
  • Working with Data in R
  • Strings and Dates in R

PL-300 Microsoft Power BI – 24 Hours

  • Data Retrieval and Preparation Techniques for Efficient Analysis
  • Developing Proficiency in Data Management
  • Generating Interactive Reports and Dashboards
  • Tips and Tricks for Efficient Power BI Usage

Business Analytics with Excel – 24 Hours

  • Introduction to CBAP certification
  • Introduction to Business Analytics
  • Formatting and Conditional Formatting in Excel
  • Important Functions in Excel
  • Analyzing Data with Pivot Tables
  • Dashboarding
  • Business Analytics with Excel
  • Data Analysis Using Statistics

Essentials of Generative AI, Prompt Engineering and ChatGPT – 12 Hours

  • Introduction to Generative AI and its Landscape
  • Explainable AI: Understanding the Importance of Transparency
  • Conversational AI: Applications and Advancements
  • The Art of Prompt Engineering
  • Designing and Generating Effective Prompts for AI models
  • Exploring Large Language Models
  • In-depth Analysis of ChatGPT and its Applications
  • Fine-tuning Techniques for Personalization
  • Ethical Considerations in Generative AI Models: Responsible Data Usage and Privacy
  • Exploring the Future of Generative AI
  • Leveraging AI Technologies for Innovation

Advanced Generative AI – 20 Hours

  • Introduction to Generative AI Models
  • Introduction to Large Language Models and LangChain
  • Advanced Prompt Engineering Techniques
  • LangChainfor LLM Application Development
  • LLM Fine-Tuning and Customization
  • Benchmark and Evaluation of LLM Capabilities

DataScience Portfolio Project

Benefits After Completing the Course

Become job-ready for Data Scientist roles

Work on large datasets confidently

Unlock career opportunities in AI, ML, and Analytics

Who Should Join?

Course Format

Duration

1 year

Mode

Online

Projects

10 real world projects

Placement Assistance

Yes

Testimonials

Student Success Stories

“

Before joining CodeSpeakLearn, I struggled with corporate communication. This course improved my spoken English and presentation skills, and now I confidently lead business meetings!

Yuvraj NashiEnglish Speaking & Soft Skills
“

CodeSpeakLearn gave me hands-on experience in AI. The real-world projects and expert mentorship helped me build a strong portfolio, leading to my first job as a software developer!

Yash MungilwarAI
“

Learning Data Science at CodeSpeakLearn was a fantastic experience. The structured curriculum, expert instructors, and practical exercises made complex concepts easy to grasp.

Maneesh SrivastavaData Science
“

CodeSpeakLearn made Data Science feel approachable and exciting. The hands-on projects, clear explanations, and supportive mentors helped me build real-world skills with confidence.

Pratik ThakurData Science
“

The Al/ML course exceeded my expectations! The practical training, industry insights, and career guidance helped me transition from a beginner to an Al engineer. Highly recommended to all!

Riya ShahAl & Machine Learning