Statistics Science Course

4.8 (100 reviews)
  • 71 Lessons
  • 178 Students
  • Certificate of completion
Track:

Science

Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data, or as a branch of mathematics. Some consider statistics to be a distinct mathematical science rather than a branch of mathematics.

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What You'll Learn

  • Master data collection techniques and design effective surveys for accurate statistical analysis
  • Apply descriptive statistics to summarize and visualize data sets for clear insights
  • Perform inferential statistical tests to draw valid conclusions from sample data
  • Utilize probability theory to assess risks and make data-driven decisions in real-world scenarios
  • Interpret statistical results to support business, scientific, or social research objectives
  • Use statistical software tools for data analysis, visualization, and reporting
  • Identify and correct common errors in data collection, analysis, and interpretation processes
  • Communicate statistical findings effectively to non-technical stakeholders and decision-makers
  • Implement regression and correlation analysis to explore relationships between variables
  • Design experiments and analyze results to optimize processes and improve outcomes
  • Evaluate the reliability and validity of statistical data and methods used
  • Apply Bayesian and frequentist approaches for advanced statistical inference
  • Develop skills to handle large datasets and perform big data analytics efficiently
  • Understand ethical considerations and best practices in statistical research and data handling

Course Content

71 Lessons • 18 h 36 m total

Introduction to Statistics

16:43

Statistics Introduction Membership

56:46

Descriptive Statistics vs Inferential Statistics

7:20

Qualitative and Quantitative

6:28

Statistic vs Parameter Population vs Sample

6:22

Scales of Measurement Nominal Ordinal Interval Ratio Scale Data

11:09

Mean Median Mode and Range How To Find It

11:38

How To Find The Weighted Mean and Weighted Average In Statistics

22:50

Calculating The Standard Deviation Mean Median Mode Range Variance Using Excel

11:10

How To Make a Simple Frequency Table

11:21

How To Make a Relative Frequency Distribution Table

5:09

How To Make a Cumulative Relative Frequency Table

5:04

Dot Plots and Frequency Tables

5:35

Stem and Leaf Plots

7:47

Side by Side Stem and Leaf Plots

5:36

How To Make a Histogram Using a Frequency Distribution Table

11:16

How To Make a Frequency Polygon

10:23

Quartiles Deciles Percentiles With Cumulative Relative Frequency Data Statistics

35:13

How To Find The Interquartile Range any Outliers Descriptive Statistics

12:33

Skewness Right Left Symmetric Distribution Mean Median Mode With Boxplots Statistics

10:22

Sample Mean and Population Mean Statistics

5:04

Mean Median and Mode of Grouped Data Frequency Distribution Tables Statistics

14:34

How To Calculate The Standard Deviation

7:14

Variance and Standard Deviation With Microsoft Excel Descriptive Statistics

19:18

How To Calculate Variance

10:24

Standard Deviation of Grouped Data

12:42

Introduction to Probability Basic Overview Sample Space Tree Diagrams

16:59

Probability of Complementary Events Sample Space

5:48

Conditional Probability With Venn Diagrams Contingency Tables

16:26

Probability Independent and Dependent Events

10:11

Probability of Mutually Exclusive Events With Venn Diagrams

11:16

Multiplication Addition Rule Probability Mutually Exclusive Independent Events

10:02

Compound Probability of Independent Events Coins 52 Playing Cards

18:57

How To Calculate Expected Value

7:00

Probability Tree Diagrams

32:52

Bayes Theorem of Probability With Tree Diagrams Venn Diagrams

19:14

Finding The Probability of a Binomial Distribution Plus Mean Standard Deviation

20:27

Geometric Distribution Probability Mean Variance Standard Deviation

32:13

Introduction to Poisson Distribution Probability Statistics

16:12

Continuous vs Discrete Data

9:03

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  • Complete all lessons.
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4.8 (100 reviews)

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Reviews

Oslouis Almonor

· 1yr ago

Excellent course

MOHD ZEESHAN

· 2yrs ago

it was very nice lecture. before i seen this lecture i have a lot of confusion in stem and leaf, diffrence between statistic and parameter, probability portion like conditional probability and bayes theorem etc. after seing this lecture in numerical form my all confusion is to be clear. this is a wonderful class. my basic fundamental portion in statistics is clear. thank you sir.

Abdelmonaime RIFAI

· 2yrs ago

Good course

Rajinder kaur

· 3yrs ago

Excellent

EUGENE OMONDI

· 3yrs ago

super

Ahmed Abdi Iman

· 3yrs ago

I got this course more knowledge about statistics

Tekchand Pradhan

· 3yrs ago

Good

Ganesh Prakash Shewale

· 3yrs ago

Very well explain

Statistics Science Course Description

Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data, or as a branch of mathematics. Some consider statistics to be a distinct mathematical science rather than a branch of mathematics.

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Course Intro