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Python for Data Analysts

Choose flexible campus or online study.

Pitman Training Essex and Suffolk

Summary

Price
£499 inc VAT
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Study now and spread your investment over time with payment options from £29/month.

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Study method
Classroom + online
Duration
50 hours · Part-time
Qualification
No formal qualification
CPD
52 CPD hours / points
CPD What's this?
Additional info
  • Tutor is available to students
17 students enquired about this course

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Location & dates

Location

Address
Pitman Training - Ipswich
12 Northgate Street
IPSWICH
Suffolk
IP13DB
United Kingdom
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Address
Pitman Training - Chelmsford
2 St Johns Court, Moulsham Street
CHELMSFORD
Essex
CM20JD
United Kingdom
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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

52 CPD hours / points
Accredited by The CPD Standards Office

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.

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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.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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Similar subjects: Data analysis, Python, Business, Coding
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