[TopCourse] IBM Data Science Professional Certificate

This course will help you to develop career - relevant skills and experience in data science, machine learning. You don't need to have any knowledge of computer science or programming languages, just passion needed to become an data scientist. Moreover, besides earning a Professional Certificate from Coursera, you will get a digital badge from IBM recognizing your proficiency in data science.
What you will learn:
Definition of data science, what data scientists do, and methodology to think and work like them.
Develop many skills of data scientists such as tools, languages, libraries,...
Using Python to import and clean data sets, analyze and visualize data, build and evaluate machine learning models and pipelines.
Completing a project and publishing a report by applying skills, techniques, tools on data science.
10 courses in this Professional Certificate:
What is Data Science: we will learn from some data science practitioners and have an overview of data science nowadays.
Tools for Data Science: learn all things about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. Then, you will make final project with a Jupyter Notebook on IBM Watson Studio and sharing your work.
Data Science Methodology: you will learn some major steps in tackling a data science problem, practicing data science,...
Python for Data Science, AI & Development: you will learn from start in Python, including data structures and data analysis, complete exercises and create a final project.
Python Project for Data Science: you will demonstrate foundational Python skills for working with data and working on project using Python.
Databases and SQL for Data Science with Python: The purpose is to introduce relational database concepts and help you apply foundational knowledge of the SQL language.
Data Analysis with Python: this course will take you from the basics of Python to exploring many different types of data.
Data Visualization with Python: teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people.
Machine Learning with Python: dives into the basics of machine learning using Python.
Applied Data Science Capstone: this final course will give you a taste of what data scientists go through in real life when working with real datasets.
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