Python for Data Science and Visualisation
Complete Python data science course - Pandas, Numpy, Text mining, Natural Language Processing (NLP) & MatPlotLib - CPD
ALEAP Knowledge Services Ltd
Summary
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
Overview
Python for Data Science and Visualisation
If you’ve ever looked for a Python course online, you’ve probably been left disappointed.
Searching through dozens of overpriced online courses that don’t give you any real knowledge, or worse, a cheap course that doesn’t even provide you with a comprehensive e-learning experience and just throws information at you.
We know that’s not what you want.
You want a course that’s gives you both the knowledge and the know-how you need to become an expert in Python.
A course that can even give experts something new they can learn by providing examples of real-life business scenarios. A course that you can take at home and turn yourself into a certified Python expert in as little as a few weeks.
It doesn’t matter if you’re a beginner, intermediate or advanced Python programmer, the “Python for Data Science and Visualisation” course will help you boost your skills, expand your knowledge, and make you a certified Python expert.
CPD
Course media
Description
Here’s what you’ll learn inside:
1. Introduction – the ABCs of Python, and how to create your first Python script.
2. The building blocks of Python - variables, data types, operators, expressions, functions, and string types.
3. Flow control statements and functions. IF-ELSE, WHILE, and FOR, as well as Lambda function.
4. Object-oriented programming. How to structure programs so that properties and behaviours are bundled into individual objects.
5. How to handle (with ease) errors and exceptions.
6. Text mining using regular expressions.
7. User-defined functions and NUMPY library.
8. Everything about PANDAS library, how to use pandas to create and analyse data sets, as well as data frames and data analysis.
9. Natural Language Processing (NLP) using NLTK library. Developing applications and services that are able to understand human languages.
10. MatPlotlib. Learn how to work with one of the most comprehensive libraries for creating static, animated, and interactive visualisations. How to work with charts, create them, and customise their appearances.
Who is this course for?
1. Beginners who want to learn Python from scratch
2. Aspiring Data Scientists, Machine Learning Engineers, Business Analysts and Data Analysts
Requirements
1. Have a computer (either Mac, Windows, or Linux)
2. Basic numerical ability
3. Willingness to learn!
Questions and answers
Do you get a certificate on completion of this course?
Answer:Hi Rubi, Yes, you will get a completion certificate at the end of this course. Thanks.
This was helpful.Can I download Python files for practice ?
Answer:Hi. yes, you will be able to download codes and resources used in the course for practice. Thanks.
This was helpful.Hi, Please could you confirm that all topics as shown will be covered and also the cost please ?
Answer:Hi, Yes the topics covered are as shown on the details page, cost is £12.
This was helpful.
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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.