Course by:

Course Highlights

  • Practical oriented training delivered by Industry Experienced professionals.
  • Projects would be provided along with Case studies for hands on experience.
  • Continuous evaluation & Guidance by mentors
  • Access to LMS and Placement Prep Portal
  • Direct connect with Universities and Colleges across India
  • Awareness webinars everyday

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Data Science and Analytics course?

  • You would Learn Python and its Libraries along with various tools
  • You would learn how to obtain, clean/process, and transform data
  • You would learn how to Analyze and interpret data
  • You would learn how to Use appropriate models of analysis
  • You would learn how to assess the quality of input and use the above to derive insight from results, and investigate potential issues
  • You will be working on capstone
  • Projects aligned to real-time applications
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Reasons to enrol

Why you should take Data Science and Analytics course?

  • You should take this course because today data science is used across sectors like healthcare, banking sector, financial services, Insurance services, E-commerce, retail, entertainment, education, etc
  • It has created lot of opportunities in the process for anyone with the right knowledge about data science
  • It will help you get ready for different roles in the above domains and increases career growth opportunities
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Ideal Participants

Who should take Data Science and Analytics course?

  • Fresh Graduates.
  • Students enrolled under any stream
  • Working Professionals looking for Up skilling
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Curriculum

Curriculum

  • Introduction to Data Science & Data Analytics
  • Basic Statistical Concepts
  • Regression analysis
  • Working with Using R / MS
  • Excel data analysis plugin
  • Jupyter Notebooks
  • Working with python libraries, NumPy, Pandas
  • Importing Data
  • Acquiring the data
  • Preprocessing Data
  • Capstone Projects
  • Preparing for Certification
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skills and tools

Tools you will learn in Data Science and Analytics course:

  • Advance Excel
  • Jupyter
  • Notebooks
  • Python IDE
  • NumPy
  • Pandas
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