Course details
Course description
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. IS THIS COURSE 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. ABOUT THE COURSE 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. 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 COURSE CONTENT (cont’d) 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 Tutor support is available throughout the course as and when required. On successful completion of post assessment a Pitman Training Certificate and CPD points will be awarded. COURSE DURATION 52 hours. CPD POINTS: 52
Entry requirements
Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.
Course options
Course details
Flexible
8th Mar 2023 to 7th Mar 2024
Cost: £500.00 (ex. VAT)
Venue details
Pitman Training Edinburgh
4 Queen Street
Edinburgh
EH2 1JE
Course details
Distance learning
8th Mar 2023 to 7th Mar 2024
Cost: £500.00 (ex. VAT)
Venue details
Pitman Training Edinburgh
4 Queen Street
Edinburgh
EH2 1JE
Course details
Flexible
8th Mar 2023 to 7th Mar 2024
Cost: £500.00 (ex. VAT)
Venue details
Pitman Training Glasgow
1/1 82 Union Street
Glasgow
G1 3QS
Who to contact
Caroline Meikle
Training Manager for Edinburgh and Glasgow
caroline.meikle@pitman-training.com
01412230090
Course details
Flexible
8th Mar 2023 to 7th Mar 2024
Cost: £500.00 (ex. VAT)
Venue details
Pitman Training Glasgow
1/1 82 Union Street
Glasgow
G1 3QS
Who to contact
Caroline Meikle
Training Manager for Edinburgh and Glasgow
caroline.meikle@pitman-training.com
01412230090