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Master Statistics for Data Science and Business Analysis
Rating: 4.5 out of 5(176 ratings)
1,909 students

Master Statistics for Data Science and Business Analysis

Learn stats essentials for Data science
Created bySandeep Kumar Mathur
Last updated 5/2026
English

What you'll learn

  • Learn the foundational concepts of statistics
  • Learn the foundational concepts of measures of central tendency
  • Learn problems of statistics
  • Step by step solutions

Course content

5 sections • 42 lectures • 7h 47m total length

  • Measures of Central Tendency24:30

    Explore measures of central tendency, including mean, median, mode, geometric mean, and harmonic mean, and learn key properties and the relation mode equals three median minus two mean.

  • Illustrations (Mean) Simple Problems21:39

    Explore arithmetic mean through simple illustrations, from calculating the mean of the first ten odd numbers and sums of natural numbers to deviations and effects of adding a constant.

  • Illustrations (Median)4:46
  • Illustrations (Mode)2:53

    Identify the mode by analyzing the frequencies within data, determine the value of x that maximizes occurrence, and apply to data sets of items and persons.

  • Illustrations4:41

    The lecture demonstrates computing the mean from a frequency distribution, yielding 55. It finds p for a distribution when the mean is six.

  • Mixed Problems6:22
  • Mean of Grouped Data19:30
  • Illustrations on Mean of a Grouped Data24:26
  • Additional Illustrations on Mean24:44
  • Median of a grouped data7:07

    Compute the median of grouped data by summing frequencies to N, building a cumulative frequency table, and applying the median formula L + H*(N/2 - CF)/f using the median class.

  • Illustrations on Median of a Grouped Data33:49
  • Mode of a Grouped Data4:59
  • Illustrations on mode of a grouped data28:58
  • Illustrations on Geometric Mean (GM)7:35
  • Illustrations on Harmonic Mean (HM)8:22

    Explore harmonic mean calculations through concrete illustrations: from four, six, and ten to grouped frequency data, then derive the harmonic mean for reciprocals as 2/(n+1).

  • Pie Diagram2:55
  • Illustration16:30
  • Illustration27:12
  • Quiz

Requirements

  • Basic knowledge of Math will be needed to finish the course

Description

In this course, we will learn statistics essentials for Data science and Business analysis. Since data science is studied by both the engineers and commerce students ,this course is designed in such a way that it is useful for both beginners as well as for advanced level.

I am sure that this course will be create a strong platform for students and those who are planning for appearing in competitive tests and studying higher Mathematics .

You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials like Importance of Statistics for Data Science, Statistical Data and its measurement scales, Classification of Data ,Measures of Dispersion: Range, Mean Deviation, Std. Deviation & Quartile Deviation, Basic Concepts of Probability, Sample Space and Verbal description & Equivalent Set Notations, Types of Events and Addition Theorem of Probability, Conditional Probability, Total Probability Theorem, Baye's Theorem etc. will be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.

Waiting for you inside the course!

So hurry up and Join now !!

Important Note: The course is intended for purchase by adults. Those under 18 years may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage.

Who this course is for:

  • Students of data science

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