Descriptive Statistics
Descriptive Statistics, available at $19.99, has an average rating of 4.5, with 22 lectures, based on 7 reviews, and has 46 subscribers.
You will learn about This Course will guide you about the basic concepts used to describe the data in statistics. This is great beginner Course for those Interested in Data Science, MBA, BCA & BSC along with competitive exams such as Banking & other Government Exams. In this course, We included the topic such as Data Condensation, Graphical Representation, Basic Concepts of Raw and Central moment etc. This course will teach you the numerical problems related to Real life situation. This course is ideal for individuals who are Professionals Interested in Statistics & Data Science or Undergraduate Students Such As BCS, BSC, BCOM, BCA, MCA or Competitive Exam Preparing Students It is particularly useful for Professionals Interested in Statistics & Data Science or Undergraduate Students Such As BCS, BSC, BCOM, BCA, MCA or Competitive Exam Preparing Students.
Enroll now: Descriptive Statistics
Summary
Title: Descriptive Statistics
Price: $19.99
Average Rating: 4.5
Number of Lectures: 22
Number of Published Lectures: 22
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- This Course will guide you about the basic concepts used to describe the data in statistics.
- This is great beginner Course for those Interested in Data Science, MBA, BCA & BSC along with competitive exams such as Banking & other Government Exams.
- In this course, We included the topic such as Data Condensation, Graphical Representation, Basic Concepts of Raw and Central moment etc.
- This course will teach you the numerical problems related to Real life situation.
Who Should Attend
- Professionals Interested in Statistics & Data Science
- Undergraduate Students Such As BCS, BSC, BCOM, BCA, MCA
- Competitive Exam Preparing Students
Target Audiences
- Professionals Interested in Statistics & Data Science
- Undergraduate Students Such As BCS, BSC, BCOM, BCA, MCA
- Competitive Exam Preparing Students
The Main Purpose of this course Is to provide foundation as well as comprehensive background of statistics to those who are interested in such as learning data science, numerical thinking, graphical methods, data analysis and various Statistical concepts.
Also We have taught this course on White board by traditional teaching methods, So we can connect well with Learning members. Explained this course in Simple and lucid Language. About 90% Course is in English and also used Hindi language to connect well with native Indian students.
In this course we have included number of illustration, remarks, figures, diagrams through the statistical concepts. Application of statistics in real life situation is emphasize through the illustrative examples. In any field statistical methods forms an essential part of data analysis hence learning elementary statistics would be of great help to the students and professionals in their future career. We have tried our best to reduce the theoretical details and concentrated more on concepts and mastering technique through the numerical problems. The course focuses on clarity of the fundamental concepts and explains them according to the need of students. The content of Each topic is supported by figures and Graphics.
This course will help you to understand the Concepts such as Central tendency, dispersion, Graphical Representation, Group & Ungroup Frequency, Calculating Mean-Median mode, Measures of Attributes etc.
So Let’s Learn Together.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Chapter 2: Chapter 1 – Data Condensation & Presentation of Data
Lecture 1: Introduction to Statistics
Lecture 2: Basic Concepts
Lecture 3: Types of Data
Lecture 4: Classification of Data
Lecture 5: Graphical Representation of Data
Lecture 6: Frequency Polygon
Lecture 7: Ogive Curve
Lecture 8: Stem & Leaf Plot
Chapter 3: Chapter 2 – Measures of Central Tendency
Lecture 1: Central Tendency – Basic Concepts
Lecture 2: Continuous Frequency Distribution – 1
Lecture 3: Continuous Frequency Distribution – 2
Lecture 4: Properties of Arithmetic Mean
Lecture 5: Median
Lecture 6: Mode
Lecture 7: Partition Values
Chapter 4: Chapter 3 – Measures of Dispersion
Lecture 1: Variance, Standard deviation & Range
Chapter 5: Chapter 4 – Moments
Lecture 1: Moments
Lecture 2: Raw & Central Moment Calculations
Chapter 6: Chapter 5 – Theory of Attributes
Lecture 1: Basic Concepts
Lecture 2: Types of Attributes
Lecture 3: Independence & Association-Dissociation of Attributes
Instructors
-
Leena Prasad
Assistant Professor of Statistics -
Ar.Prasad Kothawade
BIM Manager in Singapore | Revit & VDC Expert
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 4 votes
Frequently Asked Questions
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