The Absolute Beginners Guide to Data Science | Free Certification Course

Free Certification Title Name: The Absolute Beginners Guide to Data Science

Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place!

The Absolute Beginners Guide to Data Science
The Absolute Beginners Guide to Data Science


  • No prior experience is required. We will start with the very basics.

What you’ll learn:

  • You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
  • You will understand the mathematics and statistics behind Machine Learning.
  • You will understand the Octagonal Technical Facets of Data Science.
  • You will start coding in Python and learn how to use it for statistical analysis.
  • You will improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing, and how hyperparameters could improve performance.
  • You will unfold the power of deep neural networks.
  • You will carry out the cluster and factor analysis.
  • You will learn how to pre-process data.
  • Impress interviewers by showing an understanding of the data science field.
  • Apply your skills to real-life business cases.
  • Learn the degrees of freedom, mathematical operations.
  • Learn the art of Data Visualization.
  • Learn Histogram, Boxplot, Scatter Plot, Co-variance and Correlation.
  • Write programs in R.

Course Content:



Who this course is for:

  • The course is also ideal for beginners, as it starts with the fundamentals and gradually builds up your skills.
  • You should take this course if you want to become a Data Scientist or if you want to learn about the field.

This course includes:

  • 41 hours of on-demand video.
  • Full lifetime access.
  • Access on mobile and TV.
  • Assignments.
  • Certificate of Completion.

Created by Sai Acuity Institute of Learning Pvt Ltd


How to Subscribe For The Absolute Beginners Guide to Data Science?

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