Statistics for Data Analysis in Python Training in Malta

  • Learn via: Classroom
  • Duration: 2 Days
  • Level: Fundamentals
  • Price: From €2,078+VAT
We can host this training at your preferred location. Contact us!

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.

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

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


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

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

Classroom / Virtual Classroom
23 July 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
01 August 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
08 August 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
10 August 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
11 September 2024
Birkirkara, Qormi, Mosta
€2,078 +VAT Book Now
Classroom / Virtual Classroom
20 September 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
24 September 2024
Birkirkara, Qormi, Mosta
2 Days
Classroom / Virtual Classroom
25 September 2024
Birkirkara, Qormi, Mosta
2 Days
Statistics for Data Analysis in Python Training Course in Malta

Officially known as the Republic of Malta, is an island country in the Mediterranean Sea, South of Sicily. While Malta being the world's tenth smallest country in area and fourth most densely populated sovereign country, the capital city of the island country is Valletta. Malta consists of three islands: Malta, Gozo, and Comino and Malta is the largest island among all. The official languages of Malta are Maltese and English and based on the data from 2019, the population is about 514,564.

Winter season in Malta is delightfully mild, with temperatures above 12 degrees, so it makes the Maltese Islands a perfect year-round destination. But tourists usually prefer traveling to Malta either in April, May or June. Since in those months, Malta is warm without being too hot. In the early Spring season, travelers may also enjoy the glorious wildflower season.

Enhance your IT skills with our comprehensive array of courses, spanning programming, software development, data science, and project management. Benefit from the convenience of choosing your preferred location in Malta as our experienced instructors deliver interactive training and real-world insights.
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