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Associate Data Scientist in Python
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Associate Data Scientist in Python
Master Python for Real-World Data Science
Launch your data science career by mastering Python, the most popular programming language for data professionals. In this Track, 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
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.Prepare for the Associate Data Scientist Certification
This Track provides comprehensive preparation for the Associate Data Scientist in Python certification. By completing the courses and projects, you'll master the key concepts and techniques covered in the certification exam. Earning this industry-recognized credential will validate your skills and help you stand out in the job market.Launch Your Data Science Career with Confidence
Whether you're aiming to become a data scientist, enhance your data analysis skills, or drive data-informed decision-making in your organization, this Track will equip you with the tools and knowledge you need to succeed. By the end, you'll have a strong portfolio of projects demonstrating your ability to solve real-world problems with Python.Join thousands of learners who have kickstarted their data science careers with this Track. Enroll now and start your journey to becoming a confident, certified data scientist in Python!Prerequisites
There are no prerequisites for this trackCourse
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Course
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Project
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Course
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Project
Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Course
Learn to combine data from multiple tables by joining data together using pandas.
Course
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Course
Learn how to create, customize, and share data visualizations using Matplotlib.
Course
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Project
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Course
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Course
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Skill Assessment
Course
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Project
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
Course
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Project
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
Course
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Course
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Course
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Project
Apply your data importing, cleaning and manipulation skills to explore New York City Airbnb data.
Course
Learn how to work with dates and times in Python.
Skill Assessment
Course
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Skill Assessment
bonusPython Programming
Course
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Project
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Course
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Course
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Course
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Project
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
Course
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Project
Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
Course
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Project
Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering
Course
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Project
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Complete
Earn Statement of Accomplishment
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Included withPremium or Teams
Enroll NowFAQs
Is this Track suitable for beginners?
Yes, 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.
What is the programming language of this Track?
This Track uses the Python programming language.
Which jobs will benefit from this Track?
This Track will be beneficial to aspiring data scientists, researchers, and data professionals.
How will this Track prepare me for my career?
This Track will provide users with the skills and knowledge to become confident data scientists in Python, from data manipulation to machine learning.
How long does it take to complete this Track?
This Track usually takes 90 hours to complete, as it consists of several courses that significantly upskill users.
What's the difference between a skill track and a career track?
A skill track typically covers a limited range of technical concepts in a specific domain and focusing on developing specific skills, while a career track includes courses developed with the aim of making users job-ready for a specific career path.
What tasks will I learn in this Track?
This Track will provide users with the Python essentials for data science, and the ability to import, clean, manipulate, and visualize data, as well as working with real-world datasets to learn statistical and machine learning techniques. Additionally, users will work on supervised learning with scikit-learn and apply their skills to various projects.
What libraries will I use in this Track?
This Track includes hands-on exercises with popular Python libraries for data science, including pandas, Seaborn, Matplotlib, scikit-learn, and many more.
Does DataCamp offer Data Scientist Certification?
Yes. DataCamp's industry recognized Certifications include the Data Scientist Certifications, designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Scientist.
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