Data Science

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

IDS COURSE CONTENT

A comprehensive data science course should start with basic programming knowledge like Python and SQL, then move to probability, statistics, and mathematics (calculus and linear algebra). It should also cover data wrangling, data visualization, exploratory data analysis, and machine learning/deep learning techniques.

 

What Will You Learn?

  • INTRODUCTION TO DATA SCIENCE
  • Testing Machine Learning systems
  • Developing apps/products basis client requirements
  • Data collection/acquisition and management
  • Conducting primary and secondary research
  • To become data engineer: technologies that require hands-on experience include Hive, NoSQL, Ruby, Java, C++, and Matlab.

Course Content

Data detective, solving mysteries with analytical prowess.
A "data detective" is a role focused on analyzing data to uncover hidden patterns, solve problems, and derive actionable insights, much like a detective solving a mystery. They use various analytical tools and techniques to understand data, identify trends, and extract valuable information from large datasets.

Student Ratings & Reviews

No Review Yet
No Review Yet
Scroll to Top