## Become a Certified Data Scientist in Python
Master the essential skills you need to excel as a data scientist and earn the prestigious Data Scientist in Python certification. This comprehensive Track covers the full spectrum of data science using Python, from data manipulation and visualization to advanced machine learning techniques. Through hands-on exercises and real-world projects, you'll gain the practical experience and knowledge to tackle complex data challenges and drive business impact.
## Build a Robust Data Science Toolbox
Explore the Python data science ecosystem in-depth as you learn to:
* Manipulate and analyze data using pandas, NumPy, and SciPy
* Create compelling visualizations with Matplotlib and Seaborn
* Develop and evaluate machine learning models using scikit-learn
* Preprocess and feature engineer data for optimal model performance
* Work with relational databases using SQL
* Manage your data science projects with Git version control
## Solve Real-World Data Science Problems
Apply your skills to realistic scenarios that mirror the work of professional data scientists. From exploratory data analysis to predictive modeling, you'll learn to extract valuable insights from complex datasets. Discover how to select the right machine learning algorithms, tune hyperparameters, and interpret results to make data-driven decisions. By working with diverse datasets across industries, you'll develop the versatility to thrive in any data science role.
## Prepare for the Data Scientist in Python Certification
This Track is designed to fully prepare you for the Data Scientist in Python certification exam. As you progress through the courses, you'll steadily build the knowledge and practical skills needed to pass the certification with confidence. The interactive exercises and projects provide ample opportunity to test your understanding and get hands-on with the tools and techniques covered in the certification.
## Advance Your Data Science Career
Earning the Data Scientist in Python certification validates your expertise to employers and opens doors to exciting career opportunities. Companies across industries are seeking skilled data scientists who can leverage the power of Python to solve complex problems and drive innovation. By completing this Track and obtaining the certification, you'll demonstrate your ability to:
* Perform end-to-end data science projects in Python
* Select and apply appropriate machine learning algorithms
* Communicate data insights effectively to technical and non-technical audiences
* Collaborate with cross-functional teams on data-driven initiatives
Whether you're looking to break into data science, advance your current role, or expand your skill set, this Track provides the comprehensive training and industry-recognized certification to help you achieve your goals.
Overview
Syllabus
- Intermediate Importing Data in Python
- Improve your Python data importing skills and learn to work with web and API data.
- Preprocessing for Machine Learning in Python
- Learn how to clean and prepare your data for machine learning!
- Developing Python Packages
- Learn to create your own Python packages to make your code easier to use and share with others.
- Machine Learning for Business
- Understand the fundamentals of Machine Learning and how it's applied in the business world.
- Introduction to SQL
- Learn how to create and query relational databases using SQL in just two hours.
- Intermediate SQL
- Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
- Analyzing Students' Mental Health
- Joining Data in SQL
- Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
- When Was the Golden Era of Video Games?
- Introduction to Git
- Discover the fundamentals of Git for version control in your software and data projects.
- Intermediate Git
- Discover branches and remote repos for version control in collaborative software and data projects using Git!
Taught by
Hugo Bowne-Anderson, James Chapman, Karolis Urbonas, James Fulton, Izzy Weber, Jasmin Ludolf, Maham Khan, and George Boorman