Master’s Program in Data Science, AI & Machine Learning
Master’s Program in Data Science, AI & Machine Learning equips learners with in-demand skills in Python, SQL, Machine Learning, Power BI, and Generative AI. Gain hands-on experience through live projects and become job-ready for careers in Data Science and AI.
About This Course
Yes, this Data Science course is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this Data Science Certification course. Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course. This Data Science certification training will familiarize you with programming languages like Python, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume. After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly. Can I pursue a Data Science course after my graduation?
How can I become eligible for this Data Science course?
How many programming languages will I learn in this Data Science course?
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What are the important features of Our Data Science course?
Learning Objectives
Target Audience
- Developers aspiring to be a ‘Data Scientist’
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- ‘R’ professionals who want to captivate and analyze Big Data
- Analysts wanting to understand Data Science methodologies
- Project Manager, Software engineers, Digital Marketing Manager, Senior Consultant, Research Analyst, IT Analyst, Quality Control, Mechanical Engineers, Civil Engineers, Senior Associate Consultant, VP, Program, Manager, Business Analyst, Data Analyst etc. lots of profile not limited for this.
Curriculum
Math, Statistics & Business Thinking for Data Science
Descriptive & Inferential Statistics
Probability for ML (Bayesian thinking)
Hypothesis Testing & A/B Testing
Causal Inference
Experiment Design
Statistics with Python
Real Case: Netflix / Amazon A/B testing simulation
Practical Exercise
Assessment
Advanced Excel
SQL for Data Science
Python
Data Visualization & Business Intelligence with Power BI
Machine Learning with Python & AI
Big Data Hadoop – Self Paced Training
Capstone Project