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Statistics Foundations for Data Science (Part 1)

Theory and Practice with Python

Takuma Kimura

Summary

Price
£50 inc VAT
Or £16.67/mo. for 3 months...
Study method
Online, On Demand What's this?
Duration
3.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free

Overview

Welcome to Statistics Foundations for Data science and Analytics.

This course is designed for beginners who are interested in statistical analysis and data science. And anyone who is not a beginner but wants to go over from the basics is also welcome! This course consists of three levels. When you complete all levels, you master undergraduate level statistics.

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

6
sections
67
lectures
3h 47m
total

    • 3: What is Statistics? Preview 03:16
    • 4: Population and Sample Preview 02:50
    • 5: Types of Statistics (Y) 03:07
    • 6: What is Data? 03:10
    • 7: Types of Data 03:56
    • 8: Stevens' Typology 09:27
    • 9: Frequency Table 03:48
    • 10: Create Frequency Table with Python 05:36
    • 11: Histogram 07:20
    • 12: Create Histograms with Python 05:01
    • 13: Quiz: Population or Sample? 03:00
    • 14: Quiz: Types of Variables 03:00
    • 15: Quiz: Stevens’ Typology 01:00

    • 16: Mean 02:44
    • 17: Median 03:05
    • 18: Mode 01:46
    • 19: Mean, Median & Mode with Python 07:24
    • 20: Geometric Mean 02:43
    • 21: Harmonic Mean 03:27
    • 22: Trimmed Mean 01:14
    • 23: Moving Average 01:49
    • 24: Expected Value 02:20
    • 25: Proportions for Binary Data 01:39
    • 26: Various Means with Python 05:49
    • 27: Quiz: Mean, Median, and Mode 03:00
    • 28: Quiz: Various Means 02:00

    • 29: What is Variability? 02:37
    • 30: Range and Residual 02:00
    • 31: Mean Absolute Deviation 02:47
    • 32: Variance 01:48
    • 33: Standard Deviation 02:47
    • 34: Coefficient of Variation 02:23
    • 35: Variability with Python 04:41
    • 36: Percentile 02:08
    • 37: Interquartile Range 02:11
    • 38: Empirical Rule 02:56
    • 39: Relative Position with Python 03:17
    • 40: Quiz: Variability 03:00
    • 41: Quiz: Relative Position 04:00

    • 42: Why Visualization? 01:36
    • 43: Box Plot 04:45
    • 44: Box Plot with Python 04:08
    • 45: Bar Chart 01:42
    • 46: Bar Plot with Python 04:11
    • 47: Pie Chart 02:17
    • 48: Pie Chart with Python 04:49
    • 49: Line Plot 01:20
    • 50: Line Plot with Python 04:21
    • 51: Crosstab and Stacked Bar Chart 03:40
    • 52: Crosstab and Stacked Bar Chart with Python 05:27
    • 53: Quiz: Data Visualization 03:00

    • 54: Factorial 07:02
    • 55: Permutation 02:37
    • 56: Combination 04:50
    • 57: Permutation and Combination with Python 05:01
    • 58: Experiment and Event 02:16
    • 59: Set 03:41
    • 60: Complementary Event 04:13
    • 61: Intersection and Union 04:13
    • 62: Set Difference 02:09
    • 63: Set with Python 07:19
    • 64: Quiz: Factorial 01:00
    • 65: Quiz: Permutation 03:00
    • 66: Quiz: Combination 02:00
    • 67: Quiz: Set Theory 02:00

Course media

Description

This course is a comprehensive program for learning the basics of statistics. Here, the basic means undergraduate level.

This course is the first chapter of the whole program. The whole program consists of the following three chapters.

Part 1 (*This course)

  1. What is Statistics?
  2. Representative Value
  3. Variability & Relative Position
  4. Data Visualization
  5. Permutation, Combination, & Set

Part 2 (*Not included in this course)

  1. Probability Theory
  2. Random Variables & Distribution
  3. Probability Distribution Part 1
  4. Probability Distribution Part 2
  5. Sampling

Part 3 (*Not included in this course)

  1. Estimation
  2. Hypothesis Testing
  3. Correlation & Regression
  4. Multiple Regression
  5. ANOVA

These chapters and modules cover theory and basic Python coding. Even if you do not have Python coding experience, I believe they are easy to follow for you. But this program is not a Python course, so how to install Python and construct environment is not covered in this course.

This course is designed for beginners, but by completing the all three chapters, you will master undergraduate level statistics.

I’m looking forward to seeing you in this course!

Who is this course for?

Anyone who want to start learning statistics.

Anyone who is not a beginner but wants to go over from the basics is also welcome.

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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