Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 46 Minute(s)
Language
English
Taught by
Dr Ziad Francis
Rating
1 views
Course Overview
NumPy and Pandas for Data Analysis and Financial Applications, Examples in Trading Market Analysis
This online course is designed to equip you with the skills and knowledge needed to efficiently and effectively manipulate and analyze data using two powerful Python libraries: Pandas and NumPy.
In this course, you will start by learning the fundamentals of data wrangling, including the different types of data and data cleaning techniques. You will then dive into the NumPy library, exploring its powerful features for working with N-dimensional arrays and universal functions.
Next, you will explore the Pandas library, which offers powerful tools for data manipulation, including data structures and data frame manipulation. You will learn how to use advanced Pandas functions, manipulate time and time series data, and read and write data with Pandas.
Throughout the course, you will engage in hands-on exercises and practice problems to reinforce your learning and build your skills. By the end of the course, you will be able to effectively wrangle and analyze data using Pandas and NumPy, and create compelling data visualizations using these tools.
Whether you're a data analyst, data scientist, or data enthusiast, this course will give you the skills you need to take your data wrangling and analysis to the next level.
Content Table:
Lesson 1: Introduction to Data Wrangling
Lesson 2: Introduction to NumPy
Lesson 3: Data structure in Pandas
Lesson 4: Pandas DataFrame Manipulation
Lesson 5: Advanced Pandas Functions
Lesson 6: Time and Time Series in Pandas
Lesson 7: Reading and Writing Data with Pandas
Lesson 8: Data Visualization with Pandas
Practice Exercises
Course Content
- 10 section(s)
- 53 lecture(s)
- Section 1 Introduction
- Section 2 NumPy or Numerical Python
- Section 3 NumPy Exercises
- Section 4 Data Structure in Pandas
- Section 5 DataFrame Manipulation
- Section 6 Advanced Pandas Function
- Section 7 Time and Time Series in Pandas
- Section 8 Reading and Writing Data with Pandas
- Section 9 Data Visualization with Pandas
- Section 10 Pandas Exercises
What You’ll Learn
- Data manipulation: working with data, filter, sort, and transform large datasets, Data analysis: perform a wide range of data analysis tasks, including aggregating data, performing statistical calculations, Data visualization: create a variety of visualizations to help understand data and communicate findings, Data wrangling: cleaning and preparing data for analysis, handling missing data, merge datasets, and reshape data
Skills covered in this course
Reviews
-
ÁÁngel Campos Salido
It was a pretty good and short course to start doing stuff with pandas.
-
rrafael delorenzi
Excelente curso, mejor de lo que esperaba, ya había comprado 2 cursos de este profesor y ahora compré 2 cursos más. Mis felicitaciones y agradecimiento al profesor
-
JJuan Pablo Ávila Artavia
Good enough for an introduction to both libs
-
MMahmoud Khafagy
It's an okay course. I think the delivery approach could've been more effective if it adopted this format "here's a challenge we want to solve, and here's how you would write the python syntax for it". Instead, the course delivery style is "this feature exists, here's its syntax, and by the way, you could use it to do this and that". Overall, not bad. I just think the delivery wasn't very engaging.
