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.
We are a collective of highly experienced professionals from the UK and North America who have packed decades of practical skills into top courses!
Access all courses in our library for only $9/month with All Access Pass
Get Started with All Access PassBuy Only This CourseAbout 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.Â
- 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:Â
- Python Fundamentals
- Data Structures, Conditionals and Loops
- Pandas
- Data Visualization
Requirements:Â
- 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.Â
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.Â
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.
10 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.
Course Curriculum
| Section 1 - Python Fundamentals | |||
| Jupyter Notebook And Packages | 00:00:00 | ||
| Basic Math | 00:00:00 | ||
| Booleans And Variable Assignment | 00:00:00 | ||
| Functions | 00:00:00 | ||
| Strings | 00:00:00 | ||
| Section 2 - Data Structures, Conditionals And Loops | |||
| Lists | 00:00:00 | ||
| Tuples and Set | 00:00:00 | ||
| Dictionaries | 00:00:00 | ||
| If_Elif_Else Statements | 00:00:00 | ||
| For Loops | 00:00:00 | ||
| While Loops | 00:00:00 | ||
| Edabit Exercises | 00:00:00 | ||
| Section 3 - Pandas | |||
| Initial Exploration | 00:00:00 | ||
| Selecting Columns_Rows | 00:00:00 | ||
| Creating Columns | 00:00:00 | ||
| 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 | |||
| Histogram | 00:00:00 | ||
| Data Visualization - Scatterplot | 00:00:00 | ||
| Bar Charts | 00:00:00 | ||
| Boxplots | 00:00:00 | ||
| Seaborn | 00:00:00 | ||
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.Â
- 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:Â
- Python Fundamentals
- Data Structures, Conditionals and Loops
- Pandas
- Data Visualization
Requirements:Â
- 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.Â
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.Â
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.
10 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.
Course Curriculum
| Section 1 - Python Fundamentals | |||
| Jupyter Notebook And Packages | 00:00:00 | ||
| Basic Math | 00:00:00 | ||
| Booleans And Variable Assignment | 00:00:00 | ||
| Functions | 00:00:00 | ||
| Strings | 00:00:00 | ||
| Section 2 - Data Structures, Conditionals And Loops | |||
| Lists | 00:00:00 | ||
| Tuples and Set | 00:00:00 | ||
| Dictionaries | 00:00:00 | ||
| If_Elif_Else Statements | 00:00:00 | ||
| For Loops | 00:00:00 | ||
| While Loops | 00:00:00 | ||
| Edabit Exercises | 00:00:00 | ||
| Section 3 - Pandas | |||
| Initial Exploration | 00:00:00 | ||
| Selecting Columns_Rows | 00:00:00 | ||
| Creating Columns | 00:00:00 | ||
| 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 | |||
| Histogram | 00:00:00 | ||
| Data Visualization - Scatterplot | 00:00:00 | ||
| Bar Charts | 00:00:00 | ||
| Boxplots | 00:00:00 | ||
| Seaborn | 00:00:00 | ||
Course Review
5.0
2 RatingsRelated Courses
Are you interested in higher education?
All Rights Reserved
Sohail is excellent
All I wanted was a brief introduction to Python and he has provided exactly that. His videos are concise and to the point, and very well paced. I also really enjoyed his method of not sticking strictly to a script and including his troubleshooting methods, it really helped with the flow and showed that programming is not about perfection all the time.
Would recommend him as an instructor.
Very Helpful
This was a very helpful introductory course. Clear directions. Easy to understand. Good examples. Nice data set. Only one question about the position of the mean when grouping but otherwise quite thorough. I am well versed with SQL and using Functions in Excel and Access so not a complete novice to this kind of analysis. I do recommend the course for beginners.