Certified Data Science Professional Certification

Become a globally recognized Data Scientist Professional and gain hands-on exposure to key technologies like Master Data Analytics, Machine Learning & Visualization, R, Python, and Tableau via live interaction with practitioners, practical labs, and industry projects.

data science course isel global
Inclusive of all taxes.

Certified Data Scientist Certification Kit:

Learn Data Science step by step through real Analytics examples, Data Mining, Modeling, Tableau Visualization, live industry projects, and more!

  • Total 30+ hours of Virtual classroom session- 3 hours on the weekend
  • Access to voice-based learning content of previous classes for 6 month
  • E-book- Data scientist with R, SAS and excel
  • Access to Virtual machines, use cases, test cases during entire training
  • Hands-on learning approach using real-life case studies and examples
  • Case study, Exam tips, Reference
  • Trainer support via mail & Telephone
  • Sample questions for preparation
  • Pre and Post assignments
  • Dummy projects for your practice
  • Certification exam anytime within the course duration
  • Certification for candidates completing 2 projects and scoring more than 50% marks in the exam
Certified Data Scientist Professional program comes with Live Classes, Assignments & Projects to practice. Get your doubts clarified 24/7 with dedicated teaching assistants. This Data Science Certification will also make you understand the various types of Machine Learning, Recommendation Systems, and many more Data Science concepts, to help you get started with your Data Science career.
Mastering these skills will help you prepare for the role of a Data Scientist in top companies. Professionals from hundreds of top fortune companies trust ISEL GLOBAL programs to master the required skills. Here are a few –
isel global data science alumni

Tools covered in this Global Data Scientist Certification Program: 

Module 1: Data Analysis with Python

  • Data Science Fundamentals
  • Data Operation with Numpy
  • Data Manipulation with Pandas

Module 2: Data Visualization Techniques

  • Introduction to Data Visualization
  • Data Visualization using Matplotlib
  • Hands-on Pandas for Rapid Visualization
  • Seaborn for Data Visualization

Module 3: EDA & Data Storytelling

  • Introduction to Exploratory Data Analysis
  • EDA Framework Deep Dive
  • Scientific Exploration of Industry Data (Case Study)
  • Student Presentations & Insight Delivery

Module 4: Mini Capstone Project

Module 5: Machine Learning Foundation

  • Introduction to Machine Learning
  • Linear Regression
  • Logistic Regression
  • Model Evaluation Techniques

Module 6: Machine Learning Intermediate

  • Decision Trees
  • Random Forests
  • Dimentionality Reduction using PCA
  • Naive Bayes Classifier

Module 7: Machine Learning Advanced

  • KNN (K-Nearest neighbors)
  • K-means Clustering
  • Ensemble Learning
  • Optimization

Module 8: Data Visualization with Tableau

  • Introduction to Data Visualization with Tableau
  • Exploring Tableau Interface
  • Tableau Calculations & Dashboard
  • Mapping using Tableau & Tableau Analytics

Module 9: Data Analytics with R

  • Introduction to Programming in R
  • Data Manipulation with dplyr
  • Data Visualization using ggplot & esquisse
  • Exploratory Data Analytics I & II

Module 10: GCD Capstone Project

From the course:

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

Learn and work on industry projects:

  • Learn and know how the leading Healthcare industry leaders worldwide make use of Data Science to leverage their business.
  • Understand how the Insurance companies like Berkshire Hathaway, AIG, AXA, etc make use of Data Science.
  • See how Top banks like Bank of America, ICICI, Citigroup, and HDFC make use of Data Science to stay ahead of the competition
  • Learn how Stock Markets like leverage Data Science tools, technology and Analytics to arrive at a consumable data from complex datasets.


OWN YOUR CAREER, Your first step towards being the Data Scientist that every company wants

  • Make the sexiest job of the 21st century yours
  • Be the Data Scientist that coolly earns ₹137,870 per year
  • Fill in the mass shortage of 200,000 trained Data Analysts needed in India in 2018
  • Earn 10X more than CAs and 15X more than Engineers, when you’re a Data Scientist

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:
1. Developers aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. ‘R’ professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

About Course Advisor

  • More than 17 years of Data Analytic, Statistical Programming experience across various domains using SAS and R.
  • Setting up Data and Analytics practice for supporting global clients. Focus areas include Pharma, Payer & Provider research and analytics.
  • Key offerings include Managed Care, Managed Markets Analytics, Commercial Analytics, Payer Research, HEOR and Market Access. Techniques include advanced excel, SQL, SAS, SPSS, R Programming.
  • Expert in Machine Learning, Data Mining, Statistical Modelling and Data Analytics.
    Excellent Knowledge in Unsupervised techniques like Clustering, Dimensionality Reduction and Pattern mining.
  • Worked Extensively on Supervised Learning Techniques like Linear Regression, Logistic Regression, Decision Trees, Neural Networks.
  • Commendable Knowledge on Support Vector Machines, Ensemble methods like Random Forests, Gradient Boosting and Ada Boost.  Exposure to reinforcement learning Techniques.
  • Building up the Analytics function focused on all the aspects of Healthcare – Payer, Provider and Life Sciences.