What you will learn from this course
- Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
- Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
- Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
- Apply various data science skills, techniques, and tools to complete a project and publish a report
- Learn about the packages, APIs, data sets and models frequently used by data scientists
- Learn about three popular tools used in data science: GitHub, Jupyter Notebooks, and RStudio IDE
- Learn about some of the features and capabilities of what data scientists use in the industry
- Learn about other IBM tools used to support data science projects, such as IBM Watson Knowledge Catalog, Data Refinery, and the SPSS Modeler
- Learn about the data science methodology and its flowchart
- Learn about the first two stages of the data science methodology, namely Business Understanding and Analytic Approach
- Learn about the purpose of data modeling and some characteristics of the modeling process
- Learn about Python fundamentals, Python data structures, and working with data in Python
- Create and access a database instance on cloud
- Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
- Filter, sort, group results, use built-in functions, access multiple tables
- Learn how to analyze data using Python
- Learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
- Learn about data visualization
- Learn about area plots and how to create them with Matplotlib, histograms
- Learn about advanced visualization tools such as waffle charts and word clouds and how to create them
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
How to Enroll IBM Data Science Professional Certificate course?
How many members can access this course with a coupon?
IBM Data Science Professional Certificate Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
