Certificates

Picture Machine Learning, Stanford University, CA (See course syllabus)

Picture Machine Learning Foundations: A Case Study Approach, Washington State University, WA (See course syllabus)

Picture Python for Data Science and Machine Learning

Picture Managing Big Data With MySQL, Duke University, NC

Picture Data Visualization and Communication with Tableau, Duke University, NC (See course syllabus)

Picture Introduction to Databases, Stanford University, CA (See course syllabus)

Picture Introduction to Python for Data Science, Microsoft, WA (See course syllabus)

Picture Lean Concepts and Applications, Northeastern University, MA (See course syllabus)

Data Visualization and Communication with Tableau

WEEK-1: How Data Analysts ask the right questions to ensure project success
WEEK-2: Data Visualization with Tableau
WEEK-3: Dynamic Data Manipulation and Presentation in Tableau
WEEK 4: Your Communication Toolbox: Visualizations, Logic, and Stories
WEEK 5: Final Project Back to top

Machine Learning Course Syllabus

WEEK-1: Introduction, Linear Regression with One Variable, Linear Algebra Review
WEEK-2: Linear Regression with Multiple Variables, Octave/Matlab Tutorial
WEEK-3: Logistic Regression, Regularization
WEEK 4: Neural Networks: Representation
WEEK 5: Neural Networks: Learning
WEEK 6: Advice for Applying Machine Learning, Machine Learning System Design
WEEK 7: Support Vector Machines
WEEK 8: Unsupervised Learning, Dimensionality Reduction / Principal Component Analysis
WEEK 9: Anomaly Detection, Recommender Systems
WEEK 10: Large Scale Machine Learning
WEEK 11: Application Example: Photo OCR Back to top

Machine Learning Foundations: A Case Study Approach

WEEK 1: Introduction
WEEK 2: Regression: Predicting House Prices
WEEK 3: Classification: Analyzing Sentiment
WEEK 4: Clustering and Similarity: Retrieving Documents
WEEK 5: Recommending Products
WEEK 6: Deep Learning: Searching for Images Back to top

Introduction to Python for Data Science

Section 1: Python Basics
Section 2: Python Lists
Section 3: Functions and Packages
Section 4: Numpy
Section 5: Matplotlib
Section 6: Control flow and Pandas Back to top

Introduction to Databases

Week-1: Introduction, Relational Databases, XML Data
Week-2: JSON Data , Relational Algebra
Week-3: SQL
Week-4: Relational Design Theory
Week-5: Querying XML
Week-6: Unified Modeling Language, Indexes, Transactions, Constraints and Triggers
Week-7: Constraints and Triggers
Week-8: Views, Authorization
Week-9: Recursion, On-Line Analytical Processing
Week-10: NoSQL Systems Back to top

Lean Concepts and Applications

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