Python for Data Analysts
Online, self-paced
Pitman Training North London & Hertfordshire
Summary
4 , 6 , 10 , 12 month intrest free plan option available.
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- Pitman Training Certificate - Free
- Exam(s) / assessment(s) is included in price
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Overview
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.
Certificates
Pitman Training Certificate
Digital certificate - Included
CPD
Course media
Description
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?
This course is for those who are interested in learning the Python programming language specifically for applications in data analysis and data science.
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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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.