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Microsoft Data Science Course

Certified By:
NITTTR Chandigarh, Ministry of Human Resources Development : Millionlights : Academic Council of uLektz

45 hours of Learning Content

Maximum 2 months.

 

Course overview

This course is designed to give you an introductory overview of data science to help you understand what data science is and what data scientists do. We'll look at some fundamental techniques for working with data and we'll introduce you to the basics of statistical analysis and machine learning.

Now the purpose of this course is to set you on a path towards learning all of the skills that you'll need to pursue a career in data science - think of this course is the first step on an exciting journey. At the end of this course you should have a good overview of what data science is and we'll provide you with some suggested resources that you can use to continue your studies.

Program Structure:

This course is designed to get you started as quickly as possible. There are a variety of self-paced learning activities.

·         Videos and Demonstrations are located throughout the course to explain the concepts and provide system walk-throughs.

Program Details:

·         An Introduction to Data

·         Data Analysis Fundamentals

·         Getting Started with Statistics

·         Machine Learning Basics

Effort or Learning time:

24 Hrs

Skills Required:

Though there is no particular prerequisite to learn Data Science, you will be able to do very well, if you have these basic skills:

·         Basic Programming Knowledge

·         Good command in Maths and Statistics

·         Business Knowledge

·         Data Visualisation skills

·         Good communication skills.  

Who can learn:

    Any professional from Business Analytics/ Business Intelligence background.

    Engineering or Non-Engineering aspirants wanting to become a Data Scientist.

    Any Data Analyst or Software Developer aspiring to learn Data Scientist.

    Professionals wanting to know about machine learning models, using distributed storage and distributed processing

 

 

 

 

Course Study Materials

Module 1 : Introduction

  • Before You Start

    Duration:
  • Welcome to the Course

    Duration:
  • What Do You Enjoy About Being a Data Scientist?

    Duration:
  • What Does a Data Scientist Do?

    Duration:
  • What Kind of Person Succeeds as a Data Scientist?

    Duration:
  • What Skills Does a Data Scientist Need?

    Duration:
  • What Advice Would You Give an Aspiring Data Scientist?

    Duration:
  • Module 1 : Assessment

    3 Questions

Module 2 : Exploring Data

  • Getting Started with Data

    Duration:
  • Sorting and Filtering Data

    Duration:
  • Derived Data

    Duration:
  • Highlighting Data

    Duration:
  • Getting Started with Excel Online

  • Module 2 : Assessment

    2 Questions

Module 3 : Analyzing and Visualizing Data

  • Aggregating Data

    Duration:
  • Grouping and Summarizing Data

    Duration:
  • Visualizing Data

    Duration:
  • Analyzing Data in Excel Online

  • Module 3 : Assessment

    3 Questions

Module 4 : An Introduction to Statistics

  • Measuring Central Tendency

    Duration:
  • Measuring Variance

    Duration:
  • Skewed Distributions

    Duration:
  • Working with Samples

    Duration:
  • Correlation

    Duration:
  • Hypothesis Testing

    Duration:
  • A Handy Handout

  • Module 4 : Assessment

    23 Questions

Module 5 : Introduction to Machine Learning

  • What is Machine Learning?

    Duration:
  • Regression

    Duration:
  • Classification

    Duration:
  • Clustering

    Duration:
  • Some Useful Resources

  • Module 5 : Assessment

    32 Questions

Certificate

The certificate issued for the Course will have the student's Name, Photograph, Course Title, Certificate number, Date of course completion and the name(s) and logo(s) of the Certifying Bodies. Only the e-certificate will be made available. No Hard copies. The certificates can be e-verifiable at www.ulektz.com/skills.

  • Students are required to take online assessments with eProctoring.
  • Students will be assessed both at the end of each module and at the end of the Course.
  • Students scoring a minimum of 50% in the assessments are considered for Certifications
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Certifications

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Course

Registration opens on 04-02-2019

Course

Your registration details are under review. It should take about 1 to 2 working days. Once approved you will be notified by email and then you should be able to access the course.

Course

Course starts on 31-08-2019

Course

You have completed 6 hours of learning for 16-07-2019. You can continue learning starting 17-07-2019.

Course

This course can only be taken in sequential order.

Course

You have completed the course. You will be notified by email once the certificate is generated.

Course

Are you sure want to enroll this course?.

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Result Summary

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