This course is designed for those interested to learn the basics of Python programming, as well as fundamentals for understanding functionalities, working with data structures, and visualizing data.Read more.
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About This Course
Who this course is for:
- Anyone who is looking to understand more about Python with a view to break into a career in either software development, Data Analysis or Data Science.
- Equally, you may be a professional working in tech or finance and want to learn new analytical techniques that can enhance your overall skillset.
What you’ll learn:
- Python Fundamentals
- Data Structures, Conditionals and Loops
- Data Visualization
- No prior knowledge is required to take this course
In this course, we will have a full overview of Python programming. We will start with fundamental Python functionality such as arithmetic, conditional statements, and working with basic data structures.
We will then expand upon our working knowledge of data structures to work with full-blown datasets in the Pandas package. Within Pandas, we will be able to extract CSVs and Excel files of data, manipulate columns and rows, filter data, group together categories, and much more.
Finally, once we’re able to tweak and transform datasets for analysis, we will discuss making basic visualizations in Python, which will allow us to take our insights and analysis to the next level.
Our Promise to You
By the end of this course, you will have learned about Python programming.
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Get started today and learn more about Python.
|Section 1 - Python Fundamentals|
|Jupyter Notebook And Packages||00:00:00|
|Booleans And Variable Assignment||00:00:00|
|Section 2 - Data Structures, Conditionals And Loops|
|Tuples and Set||00:00:00|
|Section 3 - Pandas|
|Pandas – Dropping Columns And Rows||00:00:00|
|Pandas – Filtering||00:00:00|
|Pandas – Groupby And Sorting||00:00:00|
|Pandas – Exporting Dataframes To CSV||00:00:00|
|Section 4 - Data Visualization|
|Data Visualization – Scatterplot||00:00:00|