Statistics for Data Analysis in Python Training in South Africa

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Level: Fundamentals
  • Price: From ZAR 59,800 +TAX
  • Upcoming Date:
  • UK & South Africa Based Global Training Provider

This two day course is designed for those who analyse data or who are creating machine learning models, but who wish to firm their understanding in core concepts as well as expanding into types of data distributions, inferential statistics (hypothesis tests), statistical significance, and a deeper understanding of how linear regression works. It is expected that you will have experience with a programming language used for data analysis such as Python or R – if this is not currently the case we suggest completing one of our Python or R for Data Handling courses.

As well as providing a business context to using core concepts such as averages, spread, and interpreting analyst visualisations, you will take this knowledge further and learn how distributions, sampling, and hypothesis testing can be used to analyse data in an organisation and in automatically highlighting significant results or anomalies.

If you are on a learning journey with Machine Learning and AI this course will give you a strong starting point in the statistical methods that underpin a large number of algorithms without overloading you with too many mathematical formulae or notations that are otherwise commonly used to communicate advanced mathematics. Your focus will be on business problems and applying tools such as Python or R that you will need as part of this journey.

If you wish to expand your understanding of Maths and Statistics related to Data Science then this course will give you all the required pre-requisite statistical knowledge needed for our more in depth programmes.

Throughout the course you will engage with practical labs, activities, and discussions with one of our technical specialists. All modules involve the use of Python or R to practice the techniques taught – setting you up to succeed in analysing, interpreting, and getting value from your data.



Prerequisites

  • Minimum of GCSE Maths or equivalent
  • Experience with Python or R for Data Handling

Target Audience

This course is intended for those who are already at ease with handling data in Python and may form part of a learning journey in Data Analytics, Data Engineering, or Data Science.

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Software Developers

We can organize this training at your preferred date and location.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

During this course you will cover:

  • How to use python for statistical analysis
  • A review of fundamental statistics and probability in the context of implementing these calculations in python
  • How to begin using and interpreting advanced level notation for probability and statistics
  • The need for recognising how data is distributed and the unexpected effects that sampling can have when calculating summary statistics
  • A detailed introduction to inferential statistics and hypothesis testing which will give you a deeper understanding when interpreting the meaning of p-values
  • Consideration of how linear regression methods are based on statistical techniques

Training Outline

Central Tendency, Variation, and Outliers

  • Using an appropriate software tool, calculate:
    • Mean, Mode, Median, Mid-range
    • Population and Sample Standard Deviation & Variance
    • Inter-Quartile Range
  • Discuss when the above measures are appropriate
  • Apply methods for automating identification of outliers
  • Discuss appropriate handling of outliers
  • Practical Lab Activities with Python

Visualisations and Skew

  • Using an appropriate software tool, create:
    • Histograms
    • Scatter Plots
  • Use these to:
    • Identify skew and the effect this may have on modelling
    • Identify the location of the averages
    • Compare two samples (e.g.taken at different times or fromdifferent locations)
    • Determine the appropriate shape of a model and whetherthere are opportunities to linearise
  • Practical Lab Activities with Python

Introduction to Probability

  • Interpret P() notation and calculate simple and conditionalprobabilities
  • Use Venn diagrams with set notation to calculate probabilities
  • Use Tree diagrams and simple combinatorics to calculateprobabilities
  • Practical Lab Activities with Python

Introduction to Distributions

  • Recognise what a probability or data distribution is
  • Identify when a distributionis considered to beBinomial, Poisson,or Normal
  • Identify when a distribution can be treated as Normal and whatthis means for analytical methods
  • Practical Lab Activities with Python

Sampling

  • Critique different sampling techniques
  • Explain the impact a sampling or data gathering method mayhave on analytical model results
  • Recognise methods for estimating summary statistics for apopulation from a sample
  • Practical Lab Activities with Python

Introduction to Hypothesis Testing

  • Recognise the steps required for a Hypothesis test from thesetup, assumptions, testing, and interpretation of p-values
  • Identify a variety of tests and when they are used
  • Evaluate the output of tests from an appropriate software tool
  • Practical Lab Activities with Python

Linear Regression

  • Recognise when a linear regression is an appropriate method touse
  • Interpreting y = mx + c
  • Evaluate linear models
  • Practical Lab Activities with Python

Why Choose Us

Experience Statistics for Data Analysis in Python in South Africa through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from South Africa or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Statistics for Data Analysis in Python through face-to-face Classroom Based training in South Africa. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Statistics for Data Analysis in Python in South Africa as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in South Africa or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Statistics for Data Analysis in Python Training Course in South Africa Schedule

Join our public courses in our South Africa facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
04 October 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
06 October 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
08 October 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
12 October 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
21 October 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
05 November 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
09 November 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX
12 November 2026 (2 Days)
Cape Town, Johannesburg, Pretoria
ZAR 59,800 +TAX

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