4.2 Read 5 reviews
Overview
Context
Launch your data science career by mastering Python, the most popular programming language for data professionals. In this Associate Data Scientist in Python course offered by Data Camp, you'll learn how to use Python to import, clean, manipulate, and visualize data—all essential skills for any aspiring data scientist or researcher.
Gain Hands-On Experience with Python's Top Libraries
Through interactive exercises and real-world projects, you'll get practical experience with the most powerful Python libraries for data science, including:
- pandas for data manipulation
- Matplotlib and Seaborn for data visualization
- scikit-learn for machine learning
- statsmodels for statistical analysis
By working with real datasets, you'll develop knowledge on how to tackle complex data science challenges and deliver actionable insights.
Progress from Python Basics to Advanced Data Science Techniques
Starting with the Python essentials, you'll quickly progress to more advanced topics like exploratory data analysis, statistical hypothesis testing, and predictive modeling with machine learning. The carefully designed curriculum ensures a smooth learning journey, even if you have no prior coding experience.
Programme Structure
Courses
- Intermediate Python
- Statistics in Python
- Data Visualization with Matplotlib
- Data Visualization with Seaborn
- Functions in Python
- Python Toolbox
- Exploratory Data Analysis in Python
- Working with Categorical Data in Python
- Data Communication Concepts
- Importing Data in Python
- Cleaning Data in Python
- Working with Dates and Times in Python
- Writing Functions in Python
- Regression with statsmodels in Python
- Sampling in Python
- Hypothesis Testing in Python
- Experimental Design in Python
- Bonus: Hypothesis Testing with Men's and Women's Soccer Matches
- Supervised Learning with scikit-learn
- Bonus: Predictive Modeling for Agriculture
- Unsupervised Learning in Python
- Bonus: Clustering Antarctic Penguin Species
- Machine Learning with Tree-Based Models in Python
- Bonus: Predicting Movie Rental Durations
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data Software Engineering View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- This Track is suitable for beginners, as it features course content for members at any level from Python fundamentals to the advanced techniques used in data science.
- This Track will be beneficial to aspiring data scientists, researchers, and data professionals.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
Improve page content