Introduction
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 the Emeritus Institute of Management.
Why Enroll in the Postgraduate Diploma in Applied Data Science?
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 show 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.
What You Will Learn
Use common Python packages to import data and conduct statistical analysis.
Apply data distributions and sampling techniques to create data samples and depict multiple forms.
Use advanced Python libraries (e.g., NumPy, Pandas) to assess discrete data sets and visualize data for usability.
Form connections and inform decision-making via decision trees, random forests, and ensemble methods.
Your Learning Journey
Video Lectures
Discussions
Assignments
Application Projects
Capstone Project
Office Hours
Courses
Course 1: Tools and Data Management
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
Course 2: Statistics and Exploratory Data Analysis
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
Course 3: Fundamentals of Machine Learning
Machine Learning - Basic Regression and Classification
Linear Regression
Logistic Regression
Machine Learning - Decision Trees and Clustering
Ensemble Methods
Naïve Bayes Classifiers
Neural Networks
K-means Clustering
Dimensionality Reduction
Text Mining - Automatic Understanding of Text
Time Series Analysis
Capstone Project
Acting in the role of consultant, test the efficacy of an office supply company’s telemarketing campaigns for a select audience and help them leverage the test results to their advantage.
Certificate of Completion
Upon successful completion of the diploma, participants will receive a verified digital diploma from the Emeritus Institute of Management.
EMERITUS Network Benefits
On successful completion of this diploma, join a community of over 7400 learners on the Emeritus Network. The Emeritus Network is your platform to connect to a global network of individuals. Benefits of the Emeritus Network include:
Tuition Assistance
Global Network that includes over 400 CEOs, Presidents, Vice Presidents, Directors, Founders, and Managing Directors
Invitation to Global Events
Start-up Corner to help connect, collaborate, raise capital, invest or identify talent
Extended Course Access and
Access to Emeritus Groups
