Data Analytics with Python: introduction

Course Dates: 03/03/21 - 24/03/21
Time: 18:00 - 21:15
Location: Online

Python is the most popular programming language for people working in the field of data analytics. Building on the skills you have learnt on one of our Introduction to Python courses or equivalent experience you will learn how to import data into Python, analyse it and then present it in a graphical format.

This course is FREE if a) you live in London and your job is at risk of redundancy or b) you are either on Jobseekers' Allowance (JSA) or Employment & Support Allowance(ESA) or c) you receive other state benefits (including Universal Credit) and your monthly take home pay is less than £343. For more information click here

This course will be delivered online. See the ‘What is the course about?’ section in course details for more information.

Description

What is the course about?

This course is concerned with the role of Python in the Data Analysis process. We will explore how to import data sets and use Python libraries for analysis and visualisation. Using the tools provided by the Anaconda package manager we will use more advanced development environments designed specifically for Data Science.

This is a live online course. You will need:
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

What will we cover?

• What Data Science encompasses
• The Data Analyst’s workflow
• How to get the tools needed
• Import and analyse data using the Numpy and Pandas libraries
• Create 2D plots of our analysis using the Matplotlib library.

What will I achieve?
By the end of this course you should be able to...

• Import data to manipulate in Python
• Use Python libraries such as Numpy and Pandas to analyse and manipulate data
• Use the Python Matplotlib library for data visualisation.

What level is the course and do I need any particular skills?

You will have completed the Introduction to Python course at the College or equivalent. If self-taught you will need to be able to:
• Use print to give the user instructions
• Get input from a user using input
• Create variables and collect and store data of different data types
• Use the if and elif for selection
• Use for and while loops

You should also be able to follow spoken instructions, read written instructions and information, and discuss work with your tutor in English.

How will I be taught, and will there be any work outside the class?

There will be some theoretical underpinning to the course, but it is nearly all practical, through Teacher demonstration and practical programming and problem solving activities. There is no official work set outside the class but it is a good idea to practise the skills you have learnt to reinforce classroom learning.

Are there any other costs? Is there anything I need to bring?

There are no additional costs. A pen and notepad for note taking is advised.

When I've finished, what course can I do next?

Data analysis with Power BI, Excel analysing data (satge 1 & 2) Introduction to DAX: data analysis expression for Power BI, Advanced Python, Introduction to R programming.

Reviews

Customer Reviews 1 item(s)

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Reviews below are by students who have attended this course, regardless of the course teacher. Please be aware you may not be booking onto a course with the same teacher.

Very good and inspiring course. A must for anyone who is interested in Data Analysis with Python
Course Rating
Review by Anonymous / (Posted on 27/10/2019)

Book your place

Course Code: CADS18

Wed, eve, 03 Mar - 24 Mar '21

Duration: 4 sessions (over 4 weeks)

Full fee: £229.00
Senior fee: £183.00
Concession: £115.00

Or call to enrol: 020 7831 7831

Any questions? computing@citylit.ac.uk
or call 020 7492 2515

Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Center for more information on a range of topics including fees, online learning and FAQs.