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POSTGRADUATE DIPLOMA IN DATA SCIENCE

Course

Online

Price on request

Description

  • Type

    Course

  • Methodology

    Online

  • Duration

    9 Months

Why Enroll For Postgraduate Diploma In Data Science ?
Data science and machine learning are transforming entire industries and becoming an entrenched part of everyday life. The data revolution has led to a spike in the demand for data scientists and machine learning practitioners that shows no signs of slowing down.

The Postgraduate Diploma in Data Science can help you meet this demand and accelerate your career in data science. Created in collaboration with Columbia Engineering Executive Education, the program will provide you with a deep knowledge of data science and machine learning concepts you can immediately put to work to solve data problems in your organization.

About this course

The course requires an undergraduate knowledge of statistics, (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.) linear algebra and probability. Familiarity with Python or any programming language is required.

Assignments/application projects which require programming will be done using the Python programming language.

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This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Statistics
  • Probability
  • Data Management
  • Database
  • Data Collection
  • Data Protection
  • Python Basics
  • SQL
  • Data cleaning
  • Data Extraction
  • Data analysis
  • Distributions
  • Data testing
  • Data Visualization
  • Sampling
  • Machine Learning
  • Regression
  • Classification
  • Data Mining
  • Time management

Course programme

Module 1: Basics Of Statistics & Probability (Optional)
Module 2: Tools & Data Management
  • Python Basics
  • Intermediate Python
  • Relational Databases
  • SQL
  • Data Extraction (Analytics in Python 3.1 to 3.7 getting data from the internet)
  • Data Cleaning (Analytics in Python 3.1 to 3.7 Cleaning with Pandas)

Module 3: Statistics & Exploratory Data Analysis Statistical

  • Distributions
  • Sampling
  • Hypothesis TestingData Analysis & Visualization (numpy)
  • Data Analysis & Visualization (pandas)

Module 4: Fundamentals Of Machine Learning

  • Linear Regression
  • Logistics Regression, Step-wise Regression, Non-Linear Regression
  • Classification
  • Dimensionality Reduction
  • Naïve Bayes
  • K-Means
  • Text Mining
  • Clustering
  • Decision Trees
  • Time Series Analysis
  • Linear Optimization

POSTGRADUATE DIPLOMA IN DATA SCIENCE

Price on request