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Data Science

  • Course level: Beginner

Description

Data Science is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.

However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

Who this course is for:

  1. You should take this course if you want to become a Data Science or if you want to learn about the field
  2. This course is for you if you want a great career
  3. The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

What Will I Learn?

  • Learn the basics of Data Science

Topics for this course

22 Lessons

Data Science

Introduction to Data Science – Fundamental Concepts00:00:00
Data Wrangling: Part 1esson00:00:00
Data Wrangling: Part 2n00:00:00
Data Wrangling: Part 300:00:00
Data Wrangling: Part 4 – SQL00:00:00
Data Wrangling: Part 5 – Trends in Database Systems00:00:00
Data Wrangling: Part 6 – Data Processing Using Python00:00:00
Data Science Experiments using Hypothesis Testing: Part 100:00:00
Data Science Experiments using Hypothesis Testing : Part 200:00:00
Data Science Experiments using Hypothesis Testing: Part 3 – A/B Testing00:00:00
Data Science Experiments using Hypothesis Testing: Part 400:00:00
Data Science Experiments using Hypothesis Testing: Part 500:00:00
Data Science Experiments using Hypothesis Testing: Part 600:00:00
Supervised Learning: Linear Regression – Part 100:00:00
Supervised Learning: Linear Regression – Part 200:00:00
Supervised Learning: Linear Regression – Part 300:00:00
Supervised Learning: Linear Regression – Part 400:00:00
Supervised Learning: Example using Python – Part 500:00:00
Supervised Learning: Example using Python – Part 600:00:00
Logistic Regression: Part 100:00:00
Logistic Regression: Part 200:00:00
Back Propagation00:00:00
Data Science
Free

Enrolment validity: Lifetime