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:

Information may change without notice.

Customer Testimonials

Exxaro Resources Limited

It was easier to understand because we started with practical's.

Exxaro Resources Limited

The facilitator was very patient with the class and open to offering any assistance needed.

Exxaro Resources Limited

Enjoyed the content, the details was great and the material / examples from a practical point of view were most helpful and encouraging.

Exxaro Resources Limited

Brilliant content, great practicals and examples used - demonstrated the concepts extremely well which we will be able to take back to our work environment, as well as our academic studies and improving our skills, techniques, and capabilities, making us relevant in digital and analytical work environments as technologies further advance. Thank You.

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

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