Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You鈥檒l learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you鈥檒l not only develop strong data analysis skills but also earn a 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement.
Pre-processing Data in Python
Skills You'll Learn
Data Analysis, Data Pipelines, Scikit Learn (Machine Learning Library), Descriptive Statistics, Data Manipulation, Supervised Learning, Regression Analysis, Data-Driven Decision-Making, NumPy, Data Import/Export, Data Cleansing, Exploratory Data Analysis, Pandas (Python Package), Predictive Modeling, Matplotlib, Feature Engineering, Statistical Modeling, Data Visualization, Data Wrangling, Python Programming
Reviews
4.7 (19,118 ratings)
- 5 stars76.25%
- 4 stars18.35%
- 3 stars3.66%
- 2 stars0.94%
- 1 star0.78%
UA
Jul 29, 2020
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
VS
Jan 31, 2022
This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
From the lesson
Data Wrangling
Taught By
Joseph Santarcangelo
Ph.D., Data Scientist at IBM