Data science is the process of using algorithms, methods and systems to extract knowledge and insights from structured and unstructured data. It applies advanced analytics and machine learning (ML) to help users predict and optimize business outcomes.
IBM data science solutions empower your business with the latest advances in AI, machine learning and automation to support the full data science lifecycle — from preparing and exploring data to building, deploying, managing and monitoring models. Use IBM data science software on IBM Cloud Pak® for Data, a containerized data and AI platform, to build and run models anywhere — on any cloud and on premises.
Learn data analysis, manipulation, and visualization with pandas.
Learn machine learning with scikit-learn.
Understand machine learning in more depth.
Keep learning and practicing.
Can you become a data scientist in 6 months?
According to analyticsindiamag.com, when you are 9-5 full time working professional, you cannot afford to waste your time on courses that just claims — “become a data scientist in 6 months.” Talking about courses, you can either go to an institute and enrol in a data science course or you can take up an online course organized by professional organizations like IBM or Google.
So, when you complete the course you will get the certification and a badge (from IBM).
Can you get a job with a data science certificate?
Let’s get one thing clear up front: you do not need any kind of data science certificate to get a job in data science. You should choose your learning platform based on the skills it teaches, not the certificate it issues, because recruiters just don’t care much about any data science certification.
Are IBM badges worth it?
IBM’s human resources department found a correlation between badges and engagement. Employees who earn digital badges show higher engagement scores than employees who do not. Among IBM badge recipients, 87% said they are more engaged because of the digital badge program.
Best Microdegree programs: Specializations and Professional Certificates
Basic Scripting in Python Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
Artificial intelligence Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Regression Analysis Reinforcement learning SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.3
Content Rating
9
PROS:
Well-structured course and easy-to-understand lectures
Lots of Labs to get a hands-on practice
Good examples to cover the major topics
CONS:
Required in detailed explanation on hypothesis testing
