- Data Science
- Python Programming
- Jupyter notebooks
- Data Analysis
- Probability And Statistics
- Regression Analysis
- Data Visualization (DataViz)
- Statistical Hypothesis Testing
Data Science Fundamentals with Python and SQL Specialization
Build the Foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets.
What you will learn
Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables
Skills you will gain
About this Specialization
Applied Learning Project
All courses in the specialization contain multiple hands-on labs and assignments to help you gain practical experience and skills with a variety of data sets. Build your data science portfolio from the artifacts you produce throughout this program. Course-culminating projects include:
Extracting and graphing financial data with the Pandas data analysis Python library
Generating visualizations and conducting statistical tests to provide insight on housing trends using census data
Using SQL to query census, crime, and demographic data sets to identify causes that impact enrollment, safety, health, and environment ratings in schools
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 5 Courses in this Specialization
Tools for Data Science
Python for Data Science, AI & Development
Python Project for Data Science
Statistics for Data Science with Python
Svetlana LevitanSenior Developer Advocate with IBM Center for Open Data and AI Technologies
Start working towards your Bachelor's degree
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
Will I earn university credit for completing the Specialization?
How long does it take to complete the Specialization?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Can I get college credit for taking the IBM Data Science Fundamentals with Python and SQL Specialization?
What will I be able to do upon completing the Specialization?
¿Necesito realizar los cursos en un orden específico?
¿Obtendré créditos universitarios por completar la Especialización?
How do you share your proof of completion with the educational institutions for transferring credit?
Where can I find more information on ACE credit recommendations?
More questions? Visit the Learner Help Center.