Coursera – Introduction to Data Science – Specialization
English | Tutorial | Size: 1.09 GB
Launch your career in data science. Gain foundational data science skills to prepare for a career or further advanced learning in data science.
What you’ll learn
• Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists
• Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio
• Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems
• Write SQL statements and query Cloud databases using Python from Jupyter notebooks
Skills you’ll gain
• Data Science
• Python Programming
• Cloud Databases
• SQL
• Relational Database Management System (RDBMS)
Specialization – 4 course series
nterested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field.
This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.
You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You’ll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real world data sets.
In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in data science foundations.
1. What is Data Science?
2. Tools for Data Science
3. Data Science Methodology
4. Databases and SQL for Data Science with Python
4 Courses, Total, 452 Files, 73 Folder
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 and tools like Jupyter, GitHub, and R Studio. Build your data science portfolio from the artifacts you produce throughout this program. Course-culminating projects include:
• Creating and sharing a Jupyter Notebook containing code blocks and markdown
• Devising a problem that can be solved by applying the data science methodology and explain how to apply each stage of the methodology to solve it
• Using SQL to query census, crime, and demographic data sets to identify causes that impact enrollment, safety, health, and environment ratings in schools
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