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Fundamentals of Data Analytics

This course focusses on the building blocks of analytics and statistics to understand the foundations of Data Analytics.

Beginner 0(0 Ratings) 0 Students enrolled
Created by Tech SuperGirl Last updated Wed, 12-May-2021 English
What will i learn?
  • Pre-process data (N8102)
  • Exploratory Data Analysis (N8103)

Curriculum for this course
0 Lessons 00:00:00 Hours
Requirements
  • Collection and Classification of Data
  • Bi-variate analysis
  • Probability Distribution
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Description

Course Highlight

This course focusses on the building blocks of analytics and statistics to understand the foundations of Data Analytics.


What will you learn in this course?

The multidimensional course provides 13 hands-on data cases across different domains. Spanning over 61 hours, 3 modules and 12 quizzes, this course will lay a solid foundation for fundamentals of Data Analytics. A learner will be introduced to analytical concepts like:-

  • Collection and Classification of Data
  • Bi-variate analysis
  • Probability Distribution
  • Statistical Inference

Through an experiential learning approach leveraging real data sets, you will learn fundamental analytical concepts for solving business problems.

  • Micro-content of flexible duration DURATION61 Hours
  • Upskill in emerging tech SKILL TYPEEmerging Tech
  • Start learning at NO COST COSTFree
  • Pathways or courses PATHWAY/COURSESCourse
  • Learning format TYPE OF FORMATSelf Paced
  • Industry/ Sector/ Technology domain INDUSTRYData analytics
  • Course category COURSE CATEGORYIndustry and Govt. Approved

Why should you take this course?

As Data Analytics is increasingly becoming the critical driver of decision-making, there is a growing demand for professionals with these skills in the industry. With this course, learners will get hands-on experience, for instance on population and sampling, measures of location and variability, and estimation and hypothesis testing. Additionally, this course prepares a learner for SSC NASSCOM Certification for AI BDA competencies of :

  • Pre-process data (N8102)
  • Exploratory Data Analysis (N8103)

Who should take this course?

Data enthusiasts, graduates as well as professionals who have handled data and statistics must upskill in the fundamentals of Data Analytics with this course. With practical experience, the participation certificate validated by SSC NASSCOM will add credibility to your digital expertise.

Curriculum

Module 1: Introduction to Basic Numeric Descriptive Measures

Understand the Measures of Central Tendency & Dispersion - Mean, Median, Mode, Variance as well as Standard Deviation Basic Bivariate Statistics - Covariance & Correlation.

Module 2: Introduction to Probability Distributions and Statistical Inference

Develop a strong foundation in Basics Probability Distributions - Significance of Normal Distribution Statistical Inference - Hypothesis Testing.

Module 3: Frequently Applied Statistical Tests

Learn the methods for Statistical Tests for Hypothesis Testing - Z-test, t-test & Chi-Square Test.

By the end of this course, learners will take an assessment test that will consider your performance in all Data Cases and Quizzes to assess the application of the concepts learnt during the course.

Tools you will learn in the course

Analyttica TreasureHunt® LEAPS Virtual Lab

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  • 5 Students
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Includes:
  • 00:00:00 Hours On demand videos
  • 0 Lessons
  • Full lifetime access
  • Access on mobile and tv