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.
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
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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.
Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.
Wherever possible our training is tailored to your needs. The cost of our training programmes depend on the course(s) you choose and varies according to duration and breadth. Rest assured we have a number of payment options available to ensure the cost of training is affordable and can be worked alongside your other financial commitments. Common ways people fund their training include: –
Requesting funding from your employers needn’t be a daunting task. Many employers support and encourage their employees with their professional development and consider it a worthwhile investment to fund any training required.
What we can help with:
There may be the opportunity to apply for funded grants that can help towards the cost of training. These include the Skills Development Scotland ITAs and the ReAct programme in Wales. All schemes will have different terms and conditions that will need to be met in order to qualify for a grant and these are managed by each individual centre.
We’d recommend you speak to a Course Advisor in your local centre to find out whether they are registered to offer any such schemes and discuss your requirements further.
* Terms and Conditions apply. Speak to a Course Advisor for full information on the options available to you.
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.
We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs.
Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.
Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses.
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