Data Science

Launch your career in Data science and ML. Construct information science abilities, learn Python and SQL, examine and envision information and assemble AI models.

Advanced 5(5 Ratings) 31 Students enrolled English
Created by Nikhil .
Last updated Sat, 12-Feb-2022
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Course overview

This Specialization covers the ideas and apparatuses you'll require all through the whole information science pipeline, from posing the right sorts of inquiries to making surmising’s and distributing results. In the last Capstone Project, you'll apply the abilities mastered by building an information item utilizing genuine information. At finishing, understudies will have a portfolio showing their dominance of the material.

This Specialization will acquaint you with what information science is and what information researchers do. You'll find the appropriateness of information science across fields, and figure out how information investigation can assist you with settling on information driven choices. You'll see that you can launch your vocation way in the field without earlier information on software engineering or programming dialects: this Specialization will give you the establishment you really want for further developed figuring out how to help your profession objectives. 

You'll get a handle on ideas like enormous information, measurable examination, and social data sets, and gain experience with different open source apparatuses and information science programs utilized by information researchers, as Jupyter Notebooks, RStudio, GitHub, and SQL. You'll finish active labs and undertakings to become familiar with the strategy associated with handling information science issues and apply your recently procured abilities and information to certifiable informational indexes.

What will i learn?

  • Get familiar with Machine Learning on Python & R
  • Figure out how to pose the right inquiries, acquire information, and perform reproducible examination.
  • Perform relapse investigation, least squares and induction utilizing relapse models.
  • Apply different information science abilities, procedures, and instruments to finish a project and distribute a report.
Requirements
  • This course has been purely designed for Data Science and R Language Beginners.
  • No prior experience is necessary.
  • Laptop to perform certain tasks in the course
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365
Curriculum for this course
13 Lessons 12:47:02 Hours
Introduction to Python
8 Lessons 07:42:48 Hours
  • Lecture 1
    01:00:00
  • Lecture 2
    00:59:19
  • Lecture 3
    01:14:00
  • Lecture 4
    01:06:00
  • Lecture 5
    00:58:09
  • Lecture 6
    00:50:00
  • Lecture 7
    00:50:00
  • Lecture 8
    00:45:20
Structured Query Language(SQL)
5 Lessons 05:04:14 Hours
  • Introduction, Installation, Database and table creation
    01:07:02
  • Altering table, Sql functions, Subquries and Joins
    01:36:07
  • Views and Stored procedures
    00:11:20
  • Functions, Constraints and Relations
    01:16:35
  • Case Study: Movie Management System
    00:53:10
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About instructor

Nikhil .

41 Reviews | 304 Students | 17 Courses
Student feedback
5
5 Reviews
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Reviews

  • Easy to follow and relevant. Information and practicality of it makes it engaging.
  • shaik mansoor basha
    Great introduction to the worlds of data science and machine learning. Course is well structured
  • kotapati sai kumar
    Easy to follow and high level of clarity. Some codes might require change due to libraries being updated. Thanks for the wonderful course.
  • Siripangi Bhavani
  • Sandeep Dubaguntla
₹ 8000 ₹ 7000
Includes: