Data Science
Data science is the practice of extracting knowledge from massive amounts of data, using methods such as statistics, machine learning, data mining, and predictive analytics. This discipline is revolutionizing the way organizations solve problems and gain competitive advantage.
Program Overview
This course challenges you to take on the different roles involved in a data science team, solving end-to-end realworld scenarios across different industries.
Data Science Practitioners – use advanced data science methods and tools, leveraging statistical sciences, machine learning technologies and industry-specific datasets, to implement unique data models that can solve challenging problems across all industries.
Audience
Individuals with an active interest in applying for entry level jobs to work in data science related projects.
Prerequisite skills for this course:
- Basic IT literacy skills
- Fundamental statistics concepts such slope and derivatives, standard deviation, correlations
Key Features
- Explore end-to-end data science industry use cases using the data analytics lifecycle.
- Understand the scientific method for science projects, and the data science team key roles.
- Data engineering and data modeling practices using machine learning.
- Understand the evolution and relevance of data science in the world today.
- Gain a competitive edge using low-code cloud-based platform for data science - IBM Watson Studio.
- Experience teamwork agile industry practices using design thinking.
IBM Program Advantage
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PARTNERING WITH IBM:
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IBM has always believed that if you love what you do, and you have the skills to do it, you can change the way the world works. By developing revolutionary concepts in learning, IBM has made it easier and faster for you to develop the skills you need to succeed:
- Easy access to digital learning content
- Lab platforms providing hands-on labs and product sandboxes
- Global Training Providers offer a robust schedule of IBM training offerings virtually or face to face
- Digital credentials and certificate programs signal your readiness for emerging job roles
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UNNATHI JOBASSIST PROGRAM
- At the heart of our human-centered mission is a passion to solve the world's problems by building the skills you need most. Join us.
Learning Path
Analytics Overview
- Business Analytics Overview, Trends, Case Studies
- Understanding Business Intelligence and Analytics
Business Analytics Foundations
- Introduction to Business Intelligence and Analytics
Predictive Analytics Modeler
- Data mining
- IBM SPSS Modeler, nodes, streams
- ACME data
- Deriving and reclassifying fields
- Modeling
- Data functions: date, conversion, string, statistical, missing value
- Sequence data
- Sampling, partitioning, and balancing data
- IBM Watson Studio, IBM Watson Machine Learning
- Neural networks and deep learning
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Program Duration: 80 Hours
45 Hours Online Training
35 Hours Lab
Completion Certificate
awarded on course completion
Online Bootcamp
Learning Format
