About 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.
We will cover the following topics:
- Section 1 Python Fundamentals (Jupyter Notebook and Packages, Basic Math, Booleans & Variable Assignment, Functions, Strings)
- Section 2 Data Structures, Conditionals and Loops ( Lists, Tuples and Sets, Dictionaries, If_Elif_Else Statements, For Loops, While Loops, Edabit Exercises)
- Section 3.Pandas (Initial Exploration, Selecting Columns_Rows, Creating Columns, Pandas – Dropping Columns and Rows, Pandas – Filtering, Pandas – Groupby & Sorting, Pandas – Exporting Dataframes to CSV)
- Section 4 Data Visualization (Histogram, Data Visualization – Scatterplot, Bar Charts, Boxplots, Seaborn)
Who is this course suitable 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.
Our Promise to You
By the end of this course, you will have learned about Python programming.
30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
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|