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[Download Now] The Ultimate Python Certification Course
$50.00$199.00 (-75%)
We begin with the Python programming environment and basic Python data types. We move ahead into programming with loops and conditional statements and how to write and execute key functions.
Fred Baptiste – The Ultimate Python Certification Course
Check it out: Fred Baptiste – The Ultimate Python Certification Course
3 Courses
47h 22m
14,545 Students
Learn the world’s most in-demand programming language by enrolling in the same Python certification program used by the world’s top financial institutions.
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Earn a verified certification
Shareable on LinkedIn and in resumes
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Finish in 1 month
Recommended pace 12 hours/week
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Globally Recognized
The same Python certification program used at top financial institutions
Major Skills Covered
- Python Data Types
- Functional Programming
- Object Oriented Programming
- JSON & Rest API
- Python Libraries
Learn the world’s fastest-growing programming language
- No Coding Experience Needed With 40+ hours of step-by-step video and access to real-world examples with fully-annotated Jupyter code notebooks, this course has all the tools you need to gain Python fluency and Python problem solving skills.
- Understand Python from the Ground Up Learn how Python actually works at a fundamental level — allowing you to write better, cleaner and more effective programs. By the end of your journey, you’ll have mastered advanced functional programming topics such as closures and decorators, crucial to the use of Python by finance professionals.
What’s Included
1
113 Lessons
19h 48m
Introduction to Python
In this course, you’ll learn how to leverage the Python computer coding language to level up your financial analysis skills. We’ll help you understand how to use Python to explore, analyze, and visualize data, and to manipulate data using automated and repeatable processes. You’ll gain the fundamental Python knowledge needed to explore and leverage …
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2
75 Lessons
13h 8m
Intermediate Python
In this course, you will expand on the basics learned in “Introduction to Python” and learn more advanced Python programming concepts to apply in a career as a financial analyst. You will learn about higher-order functions; closures; Python decorators; importing modules; reading/writing text files; reading/writing CSV files; the ‘Decimal’ type as a …
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3
60 Lessons
14h 26m
Third-Party Python Libraries
In this third and final course in our series on Python for Financial Analysts, we’ll focus on a number of very commonly used third-party libraries highly useful in data analysis. These include: the pytz and dateutil libraries for dealing with dates, times and timezones; the requests library to query Web APIs and ingest JSON data; the Numpy library …
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What You’ll Learn
Overview: What You’ll Learn
- Basic and advanced Python data types.
- Functional and Object Oriented Programming.
- Closures and Python decorators.
- Exception handling.
- Datetime and timezone handling.
- Reading and writing CSV files.
- JSON and making REST API requests.
- Using NumPy for highly efficient calculations.
- Using Pandas for loading and analyzing data sets.
- Using Matplotlib for generating charts.
Course 1: Introduction to Python
In this introduction to Python you will learn:
- How to install Python.
- How to create and use virtual environments (and why you should use them).
- How to program in Python using Jupyter Notebooks.
- Boolean (True/False) data type and algebra (and/or/not).
- Numeric types, including integers and floats.
- Sequence types (lists, tuples, strings).
- What Unicode is
- Dictionaries and sets.
- Looping (for, while).
- Conditional execution (if…elif…else).
- Comprehensions.
- Writing and using functions, including lambda functions.
- Built-in functions such as round, sorted, min, max and zip.
Course 2: Intermediate Python
Expand on the basics covered in Course 1 and learn more advanced Python programming concepts. You’ll cover:
- Higher-order functions.
- Closures.
- Python Decorators.
- Importing modules.
- Reading/writing text files.
- Reading/writing CSV files.
- The ‘Decimal’ type as a more precise alternative to floats.
- Epochs, dates, times and timezones using native Python.
- The ‘math’, ‘statistics’ and ‘random’ standard library modules.
- Creating custom classes.
Course 3: Third-Party Python Libraries
Continue on to focus on a number of commonly-used third-party libraries that are very useful in data analysis. These include:
- The ‘pytz’ and ‘dateutil’ libraries for dealing with dates, times and timezones.
- The ‘requests’ library to query Web APIs and ingest JSON data.
- The ‘Numpy’ library for highly efficient manipulation of arrays and matrices.
- The ‘Pandas’ library for easy and powerful data table manipulations.
- The ‘Matplotlib’ library for charting data.
