trijuhari / advanced-data-science-with-ibm-specialization

This coursera certified specialization provided deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. I also understood the mathematical foundations behind all machine learning & deep learning algorithms.

Advanced Data Science with IBM Specialization

Assignments and Problem Sets

About this specialization :

According to Coursera, as a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.

Course 1 : Fundamentals of Scalable Data Science

Week 1 : Introduction to exploratory analysis

Challenges, terminology, methods and technology

• Assignment 1

Week 2 : Tools that support IoT solutions

Data storage solutions, and ApacheSpark
Programming language options and functional programming
ApacheSparkSQL, Cloudant, and the End to End Scenario

• Assignment 2

Week 3 : Mathematical Foundations on Exploratory Data Analysis

Averages and standard deviation
Skewness and kurtosis
Covariance, correlation and multidimensional Vector Spaces

• Assignment 3

Week 4 : Data Visualization

Visualization
Dimension Reduction

• Assignment 4

Course 2 : Advanced ML and Signal Processing

Week 1 : Setting the stage

Machine Learning, ML Pipelines, ETL - from Smartphone to ObjectStore

• Assignment 1