"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Analytics, March 2021
• The Anaconda distribution as Python Data Science platform
• Overview on Python virtual environment set-up
• Running Python code in Jupyter notebook
• Built-in data types in Python
• Working with strings, numbers, lists, tuples and dictionaries
• Control flow statements
• Conditional execution with if statements
• Conditional loops with where statements
• Looping over a sequence with for statements
• Defining and using custom functions
• Working with dates and times
• Accessing data on file (CSV, JSON, ...)
• Working with data in pandas
Quants, Data Scientists, Data Analysts, Financial Analysts, Researchers, Business Intelligence experts and Developers who are new to Python.
Software developers who are new to Python and Data Science or want to know more about the Python tools for Data Analysis.
"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Analytics, March 2021
Problem 11 : You have a very complex Excel spreadsheet and you want to reproduce EXACTLY the same spreadsheet in Power BI
Solution: Power BI is not Excel, it works differently and it has different strengths. In order to tackle this issue the best way is going back to the source and try to...
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