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PG Diploma in Data Science for Working Professionals

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Overview
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    Diploma from MAHE
    Get diploma from Manipal Academy of Higher Education, an Institute of Eminence.
  • manipal overview icon
    Classroom Session on Weekends
    Apt for working professionals wanting to build or shift to a career in the data science space.
  • manipal overview icon
    Tool Based Learning
    Hands on learning with tools like R, Python, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm.
  • manipal overview icon
    Who Should Attend
    Managers, Analysts, Business Intelligence professionals, Data Science enthusiasts
  • manipal overview icon
    Experiential Learning Model
    The comprehensive curriculum of our Data Science training is taught through videos, reading material, projects, and assignments.
manipal overview icon
Diploma from MAHE
Get diploma from Manipal Academy of Higher Education, an Institute of Eminence.
manipal overview icon
Classroom Session on Weekends
Apt for working professionals wanting to build or shift to a career in the data science space.
manipal overview icon
Tool Based Learning
Hands on learning with tools like R, Python, Excel , SQL, NoSQL, Hadoop, Pig, Hive , Apache Spark & Storm.
manipal overview icon
Who Should Attend
Managers, Analysts, Business Intelligence professionals, Data Science enthusiasts
manipal overview icon
Experiential Learning Model
The comprehensive curriculum of our Data Science training is taught through videos, reading material, projects, and assignments.
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Course Curriculum
1.1 Programming for Data Science
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Introduction to Software and Operating System
Introduction to programming
Control Structures
Functions and Algorithms
Complexity

1.2 Statistical Techniques for Data Science
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Introduction to Statistics
Probability
Sampling
Testing of Hypothesis
Simple Correlation
Regression

1.3 Data Scrapping and Data Wrangling
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Data Scrapping
Data Wrangling
Introduction to Database Management Systems

1.4 Exploratory Data Analysis
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Introduction to Data Science
Introduction to Data Analysis
Descriptive Analysis
Data Cleansing and transformation
Statistical methods applications for dimension reduction

2.1 Machine Learning
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Introduction to Machine Learning and Data Science
Classification
Validation Measures
Clustering
Recommendation Systems
Customer Analytics
Time Series

2.2 Data Visualization
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Introduction to Data Visualization 30 Hours
Storytelling through data
Visualization & Communication using Data Visualization
Dashboards and Automation
Visualization Product

2.3 Big Data Technologies
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Motivation for Big Data
Getting Started with Hadoop Framework
Understanding HBase
Analyzing Data with Hive
Analyzing Data with Pig
Sqoop, Oozie, Impala

3.1 Artificial Intelligence
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Introduction to AI
Neural Networks
Deep Learning
Deep Learning Models

3.2 Advanced Big Data Technologies
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Understanding Spark
Spark Programming
Real-time Data Stream Analytics

3.3 Transition to Corporate – Behavioral Development Program
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Transition to Corporate Culture
Communication
Spoken Communication
Written Communication
Presentation Skills
Team Work

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