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Python for Data Analysts

Pitman Training Group, In London (+1 locations)
Length
52 hours
Next course start
Enquire for more information (+2 start dates)
Course delivery
Classroom, Self-Paced Online
Length
52 hours
Next course start
Enquire for more information (+2 start dates)
Course delivery
Classroom, Self-Paced Online
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Course description

Pitman Training Group

The course includes a series of video lectures combined with a variety of conceptual and hands-on activities to help you develop the skills in Python to write commands, manipulate and analyse data, interpret results, and visualise data effectively.

The course begins with fundamental programming concepts, such as functions and statements. We then cover several of the Python libraries most relevant for data management and manipulation (i.e., NumPy, Pandas, Seaborn, and Matplotlib). You’ll also learn about extracting, transforming, and loading data (ETL) techniques and operations, as well as what is known as “data wrangling”.

The course is divided into four modules and includes knowledge tests at the end of each section.

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  • Classroom
  • London

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  • Self-Paced Online
  • Online

Suitability - Who should attend?

Is this for you?

This course is for those who are interested in learning the Python programming language specifically for applications in data analysis and data science.

Pre-Requisites

Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.

Outcome / Qualification etc.

The aim of the course is for you to develop a strong foundation in the Python programming language that you can implement in the field of data analysis.

Training Course Content

Module 1: Introduction to Programming with Python

Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and Decorators

Module 2: Python for Data Science

Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data Visualisation Using Seaborn

Module 3: Operations with petl

Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations

Module 4: Data Science Statistics

Using Python to Compute and Visualise Statistics; Applied Inferential Statistics

Continuing Studies

To become an effective data analyst, you’ll need several programming languages in your toolkit. Python is among the most sought-after skills among data analysts.

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Pitman Training Group
4 Bloomsbury Square
WC1A 2RP London

Pitman Training enables businesses to upskill their people and teams to take advantage of changing technologies and ways of working. This is reflected in our range of digital skills programmes that go far beyond Pitman Training’s traditional strengths in Office...

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