
Overview
The Data Science Fundamentals with Python and SQL Specialization Specialization is offered by Coursera in partnership with IBM. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases.
You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.
What you'll 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
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from IBM
Skills you'll gain
- Data Analysis
- Probability & Statistics
- Python Programming
- General Statistics
- Mathematical Theory & Analysis
- Statistical Programming
- Data Visualization
- Computer Programming
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Tools for Data Science
- Python for Data Science, AI & Development
- Python Project for Data Science
- Statistics for Data Science with Python
- Databases and SQL for Data Science with Python
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 182 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Recommended experience: Just basic computer literacy and willingness to self-learn online. No prior knowledge of computer science or programming languages required.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.