Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 23 Minute(s)
Language
English
Taught by
Bluelime Learning Solutions
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
Learn hands-on data science and Python from scratch
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information
Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.
Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science.
This course is a beginners course that will introduce you to some basics of data science using Python.
What You Will Learn
How to set up environment to explore using Jupyter Notebook
How to import Python Libraries into your environment
How to work with Tabular data
How to explore a Pandas DataFrame
How to explore a Pandas Series
How to Manipulate a Pandas DataFrame
How to clean data
How to visualize data
Course Content
- 3 section(s)
- 40 lecture(s)
- Section 1 Setting Up The Environment
- Section 2 Introduction to Python: Crash course for beginners
- Section 3 Introduction to Data Science
What You’ll Learn
- How to set up environment to explore using Jupyter Notebook
- How to import Python Libraries into your environment
- How to work with Tabular data
- How to explore a Pandas DataFrame
- How to explore a Pandas Series
- How to Manipulate a Pandas DataFrame
- How to clean data
- How to visualize data
Skills covered in this course
Reviews
-
EEssel Kodwo Jimmy
I really enjoyed the course very much and I can see myself as a potential data scientist now
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PPranav Yerram
It was a good decision on my part to pursue this course. Personally grateful to get a chance to upskill myself in this direction. Curious about the workings of data scientists and this highly sought after field!
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LL B
I took 9 credit hours worth of python courses at my university (for simple data vis and analysis for business) - this is just 4.5 hours of video and I learned significantly more
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JJaime Andrés Castañeda
It was a good match, although I was expecting a little bit more of depth in the data science intro, like perhaps some commands to perform basic statistical operations (e.g., compute a mean, draw a boxplot)
