Programme Overview

This three-month Data Science certification with Python and R programming will empower students with skills in Data Analytics, Data Mining, Machine Learning, Predictive Modelling, and Regression Analysis. In this Data Science Training based in Malaysia, they will learn to unleash the power of Python and R to create machine learning and neural network algorithms. This course aims to serve the learning needs of IT professionals and college students gearing to make the transition to data science. The student will appreciate descriptive and predictive analytics and learn to analyze structured and unstructured data with various tools and techniques like Data Preparation, Data Cleansing, Exploratory Data Analysis, Feature Engineering, Feature Extraction, Feature Selection, and Text Mining. At the end of this course, they will build prediction models for daily operability. They can also master Black box techniques, Neural Network programming, and Data Visualization methods. Propel yourselves to great heights in your Data Science career with the aid of this program from the best Data Science training institute from Malaysia.

What is Data Science? Data science is an amalgam of methods derived from statistics, data analysis, and machine learning that are trained to extract and analyze huge volumes of structured and unstructured data.

Who is a Data Scientist? A Data Scientist is a researcher who has to prepare huge volumes of big data for analysis, build complex quantitative algorithms to organize and synthesize the information, and present the findings with compelling visualizations to senior management.

A Data Scientist enhances business decision making by introducing greater speed and better direction to the entire process.

A Data Scientist must be a person who loves playing with numbers and figures. A strong analytical mindset coupled with strong industrial knowledge is the skill set most desired in a Data Scientist. He must possess above the average communication skills and must be adept in communicating the technical concepts to non - technical people.

Learning Outcomes

Course Modules

1. Project Management Methodology

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

2.Hypothesis Testing and Simple Linear Regression; Sets

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

3. Multiple Linear Regression, Regression of Attribute & Count Data

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

4. Data Mining Supervised Learning – KNN, Ensemble Models, Decision Tree & Random Forest

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

5.Naïve Bayes, Black Box Techniques, Association Rules

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

6. Data Mining Unsupervised Learning, Clustering, PCA and Time Series Analysis

• 8 Hours
• 1 Assignments
• 411 View
• 9/10 Rating

Instructors

Bharani Kumar Depuru

Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0

Over 14+ years of professional experience

Trained over 2,500 professionals from eight countries

Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv Alshaya, Synchrony Financials, Deloitte

Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)

Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business

Sharat Chandra Kumar

Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization

Trained over 1,500 professional across 12 countries

Worked as a Data scientist for 14+ years across several industry domains

Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library

Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos

Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more

Nitin Mishra

Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization

Over 20+ years of industry experience in data science and business intelligence

Trained professionals from Fortune 500 companies and students at prestigious colleges

Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL

Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more