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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 | 2 days | Get a Quote | |
| Live Virtual Training | 2 days | Get a Quote |
Discounts Available
Brochure:
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
There are currently no scheduled dates.
Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below, and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.
Should you need this course urgently, the following options are available:
- Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
- If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.