About Course

Overview

The Data Science Certification Training is a comprehensive program designed to help learners master the tools, techniques, and concepts used in the data science lifecycle. From data collection and cleaning to building predictive models and applying machine learning, this course provides the knowledge and skills needed to become a job-ready data science professional.

With hands-on projects, case studies, and exposure to industry-standard tools, you’ll gain expertise in Python, R, SQL, machine learning, statistics, data visualization, and big data technologies. This program is ideal for anyone looking to launch or advance their career in the field of data science.


Course Details

  • Duration: 6–8 months (depending on pace)

  • Learning Format: Online / Classroom / Blended

  • Certification Body: Institute/University/EdTech Partner

  • Tools & Technologies Covered: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI, Hadoop, Spark

  • Assessment: Assignments, quizzes, case studies, and capstone project

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What Will You Learn?

  • Understand the data science workflow from data collection to insight generation
  • Apply statistical methods for real-world business problems
  • Build and evaluate machine learning models using Python and R
  • Use SQL, Tableau, and Power BI for analysis and visualization
  • Work with big data frameworks and cloud-based analytics tools
  • Execute full-scale data science projects with confidence

Course Content

Module 1: Introduction to Data Science

  • What is Data Science? Importance and career scope
  • Data Science workflow and lifecycle
  • Real-world applications across industries

Module 2: Python & R for Data Science

Module 3: Statistics and Probability

Module 4: Data Wrangling & Data Management

Module 5: Machine Learning Fundamentals

Module 6: Deep Learning & AI Essentials

Module 7: Data Visualization & BI Tools

Module 8: Big Data Tools & Cloud Analytics

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