September 30, 2020
9 Months, Online
6-8 hours per week
PRE-REQUISITES: The diploma requires an undergraduate knowledge of statistics, (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.) linear algebra and probability. You would be required to possess a knowledge of programming concepts like variables, loops, functions, OOP etc.
Some hands on knowledge with Python Language and Jupyter Notebook IDE will be necessary. All assignments/application projects will be done in Jupyter Notebooks using the Python programming language. Emeritus offers a complimentary Python for Data Analytics certificate course to meet this prerequisite. Participants who successfully complete this certificate course will receive a certificate of completion from Emeritus Institute of Management.
Managing a business or organization in today’s world is more science than art. At the core of that science is data, and the ability to unleash its power and extract value from it is critical to any company’s success. Data science and machine learning have transformed entire industries and continue to do so. 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 Applied Data Science is designed to help participants master data science, from the critical foundations of statistics and probability to working hands-on with machine learning models using Python, the world's most popular programming language. Analytical models are more powerful when they are built with the right statistics, and this comprehensive diploma can help you learn the key statistics and probability concepts to build effective models, enhance your data interpretation skills and make well-informed decisions.DOWNLOAD BROCHURE
Python Basics - How to Translate Procedures into Code
Intermediate Python - Data Structures for Analysis
Relational Databases - Where Big Data Is Typically Stored
SQL - Ubiquitous Database Format/Language
Data Extraction - Getting Data from the Internet - Part 1
Data Extraction - Getting Data from the Internet - Part 2
Statistical Distributions - The Shape of Data
Sampling - When You Can't or Won't Have ALL the Data
Hypothesis Testing - Answering Questions About Your Data
Data Analysis and Visualization - using Python's NumPy for analysis
Data analysis and visualization - using Python's Pandas for Data Wrangling
Machine Learning - Basic Regression and Classification
Machine Learning - Decision Trees and Clustering
Naïve Bayes Classifiers
Text Mining - Automatic Understanding of Text
Time Series Analysis
Professor Vineet Goyal has a Bachelor's degree in Computer Science from Indian Institute of Technology, Delhi....More info
Hardeep Johar received an M.A. in Economics from the Birla Institute of Technology and Science and is a Fellow....More info
Phil has over 33 years’ experience in Financial Services and Telecommunications in the areas of data analytics...More info
*Course Leader are subject to change
In addition to Course Leader, industry experts focusing on data science share their knowledge and experience through periodic guest lectures.
Upon successful completion of the diploma, participants will receive a verified digital diploma from Emeritus Institute of Management.Get Certified