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Professional Certificate in Data Science by IBM

The Professional Certificate in Data Science from IBM is a 150 hour program for working professionals & freshers alike looking to start or make a switch into a data science career. This comprehensive program equips you with all the technologies, conceptual knowledge and skillsets that you need to crack any data science interview or transition into a career in Data Science.

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Start date

Every month

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Accreditations / Approval

IBM

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Duration

10 months

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Fee

INR 49,900/- + GST

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EMI

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Professional Certificate in Data Science

This program features the perfect mix of theory, case studies, and extensive hands-on practice. The program is a blend of academic rigour and significant industry exposure equipping you with highly advanced conceptual knowledge and futuristic skillsets unmatched by any other such programs.

This is one of the most most comprehensive curriculum covering everything from predictive analytics & machine learning. You learn data science from India’s top data science training institute as ranked by industry & students

Key highlights
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IBM digital certificate

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Master Classes by IBM faculty

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Boot camp style training with 70% practical content

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Work on 12 different capstone projects from various domains

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24x7 Access to online course content & videos even post course completion

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Weekend classes by Industry experts

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Career prospects
  • Medical and health care analyst
  • Market research analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Operations research analyst
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Skills covered
  • R programming
  • Python
  • SQL
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Eligibility
  • Education: Graduate or pursuing graduation in any field
  • Experience: No programming or statistics background needed.

Syllabus

Predictive analytics in R

  • Introduction to Analytics
  • Fundamentals of R
  • Basic Statistics in R
  • Data Cleaning & Visualization in R
  • Linear Regression in R
  • Logistic Regression in R
  • Segmentation for marketing analytics in R
  • Time series forecasting in R
  • Decision Trees in R
  • Random Forest & XGBoost in R
  • Solving an actual business problem through analytics

Machine learning in Python

  • Introduction to Data Science
  • Fundamentals of Python
  • Data summary & visualization in Python
  • Data Handling in Python using NumPy & Pandas
  • Basics of Machine Learning
  • Generalised Linear Models in Python
  • Tree Models using Python
  • Boosting Algorithms in Python
  • SVM and kNN in Python
  • Unsupervised learning in Python
  • Neural Networks in Python
  • Text Mining in Python
  • Ensemble Methods in Python & Bokeh

Data Analysis in SQL

  • Introduction to SQL
  • SQL data types & operators
  • Useful operations in SQL
  • Aggregating Data in SQL
  • Functions and sub-queries in SQL
  • DML and DDL statements in SQL
  • Joins and views in SQL

Our Facilitators

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