Introduction to Statistics

TRAINING COURSE

Details Audience and Pre-Requisites Course Outline / Curriculum Schedule Dates and Booking Enquiry

Details

Introduction to Statistics is a two-day course for anyone interested in data science, marketing, HR analytics, or science. If you are interested in learning how to measure and apply metrics or in going on to learn data-driven decision-making, this foundation course is for you.

The aim of this course is to provide a firm foundation and understanding of statistics for beginners, equipping learners with knowledge of descriptive statistics, probability and the rules of probability, and inferential statistics.

Delivery Methods

Delivery Method Duration
Classroom
Instructor-led classroom-based training. Classes are scheduled at various conference centres in the Sandton area or your premises. Stationary and printed manuals or online resources are included. Refreshments, including 2 tea breaks and a cooked meal for lunch are provided. Training is between 9 am to 4 pm.
Classroom
2 days Get a Quote
Live Virtual Training
This course is delivered live via Microsoft Teams. You will be able to see and hear the instructor, view their whiteboard, and ask questions or communicate in the chat. Attend from the comfort of your own home or private office.
Live Virtual Training
2 days Get a Quote

Discounts Available

Brochure:

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Information may change without notice.

Audience

This course is for anyone interested in pursuing studies in data science, marketing, HR analytics, or science.

Pre-Requisites

  • Maths at NQF Level 4
  • English at NQF Level 3

Course Outline / Curriculum

 

Session 1  - Overview of Business Statistics and Computers 

  • Data types and sources and collection methods.

 

Session  2 - Graphical representation of Statistical Results 

  • Pie charts
  • Component bar charts bar charts
  • Multiple bar charts
  • Frequency diagrams
  • Frequency polygons and gives

 

Session 3 - Central Tendencies

(All for both ungrouped data and grouped data)

  • Calculation of arithmetic means
  • Calculation of mode
  • Calculation of median
  • Calculation of quartiles
  • Calculation of standard deviations

 

Session 4 - Probabilities Calculations

  • Probability rules
  • Counting rules
  • Discrete probabilities
  • Continuous probabilities

 

Session 5 - Probability Distributions

  • Probability distribution discrete
  • Binomial
  • Poisson

 

Session 6 - Confidence intervals

  • Sampling distributions
  • Confidence intervals
  • Single means and single proportions

 

Session 7 - Hypothesis Testing

  • Singles means and proportions
  • Difference between means and proportions

 

Session 8 - Chi-Square Hypothesis testing

  • Test for independence
  • Test for equality
  • Test for goodness of fit

 

Session 9 - Index Numbers

  • Simple (Relative) Price and Quantity Index
  • Composite Price and Quantity Index
  •  Laspeyres Price and Quantity index
  • Paasche Price and Quantity index

 

Session 10 - Regression and Correlation

  • Regression and correlation for two variables

 

Session 11 - Time Series

  • Trend analysis
  • Moving averages 3 and 5-period moving averages
  • Trend using regression analysis
  • Season analysis the ratio-to-moving average method

 

Schedule Dates and Booking

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