Python for Data Analysts
Choose flexible campus or online study.
Pitman Training Essex and Suffolk
Summary
Study now and spread your investment over time with payment options from £29/month.
Talk to...
- Tutor is available to students
Add to basket or enquire
Location & dates
2 St Johns Court, Moulsham Street
CHELMSFORD
Essex
CM20JD
United Kingdom
12 Northgate Street
IPSWICH
Suffolk
IP13DB
United Kingdom
Overview
In this course, you’ll learn to code with Python. Python is a general-purpose programming language used for a variety of purposes, including web, software, and game development, artificial intelligence, machine learning, and data analysis.
This course is for those who are interested in learning the Python programming language specifically for applications in data analysis and data science.
CPD
Description
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.
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
Who is this course for?
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.
Requirements
Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.
Career path
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.
Questions and answers
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.