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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Machine Learning With Big Data is an online certification programme administered by the University of California San Diego to help the students explore machine learning with big data concepts. Machine Learning With Big Data Certification Syllabus, developed by Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer, will give the students a clear understanding of strategies of machine learning for the analysis and exploration of data.

In the Machine Learning With Big Data Certification Course, administered by Coursera, the candidates will learn to build machine learning models with numerous algorithms and tools as well various concepts of big data. Machine Learning With Big Data Certification by Coursera is the fourth in six programmes of the Big Data Specialization.

The Highlights

Provided by Coursera
Approximately 21 hours of programme
Offered by the University of California San Diego
Flexible Deadlines
Self-Paced Learning Option
Shareable Certificate
Financial Aid Available
100% Online Course

Programme Offerings

English videos with multiple subtitles
practice quizzes
Graded Assignments with peer feedback
graded Quizzes with feedback
Graded Programming Assignments
Course Videos & Readings
EMI payment options
14 day refund period

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

Machine Learning With Big Data Certification Fee will vary as per the number of the months the learners want to spend on the course. The fee structure is tabulated below:

Description	Total Fee in INR
Course Fee, 1 month	Rs. 4,074
Course Fee, 3 months	Rs. 8,149
Course Fee, 6 months	Rs. 12,224

Eligibility Criteria

Certification Qualifying Details

The Machine Learning With Big Data Certification will be provided only to the students who successfully completed the programme and covered the course materials, lectures, readings, practical exercises, quizzes, etc.

What you will learn

Machine learningKnowledge of Big Data

By the end of the Machine Learning With Big Data Training, the students will build a deep understanding of the following concepts:

Machine Learning Concepts
Knime
Machine Learning
Apache Spark
Big data problems analysis with scalable machine learning algorithms on Spark
Machine learning techniques to prepare data for modelling.

Who it is for

Data ScientistBusiness AnalystBig Data Analytics EngineerAnalytics manager

Machine Learning: Regression Classes are a better option for the following professionals:

Analytics Manager
Data Scientist
Developer
Big Data Analyst
Business Analyst

Admission Details

Step 1 - First, the students are required to register and sign up on https://www.coursera.org/ to get access to the courses offered by Coursera.

Step 2 - After activating the Coursera account, the candidate can sign in.

Step 3 - Then, the candidate can search the ‘University of California San Diego’ in the search column, and then, the programmes provided by the University of California San Diego will be shown on the screen.

Step 4 - Then, find the course ‘Machine Learning With Big Data’ in the list and click on it.

Step 5- Then, the page of the course will appear on the screen, and then, click on the option ‘enroll’. They enroll in the programme either by the option of ‘Audit Only’ or ‘Purchase Course’.

The Syllabus

Videos

Welcome to Machine Learning With Big Data
Summary of Big Data Integration and Processing

Discussion Prompts

Getting to Know You: Tell us about yourself and why you are taking this course.
Discussion Forum for Course Content Issues

Videos

Machine Learning Overview
Categories Of Machine Learning Techniques
Machine Learning Process
Goals and Activities in the Machine Learning Process
CRISP-DM
Scaling Up Machine Learning Algorithms
Tools Used in this Course

Readings

Slides: Machine Learning Overview and Applications
Downloading, Installing and Using KNIME
Downloading and Installing the Cloudera VM Instructions (Windows)
Downloading and Installing the Cloudera VM Instructions (Mac)
Instructions for Downloading Hands-On Datasets
Instructions for Starting Jupyter
PDFs of Readings for Week 1 Hands-On

Quiz

Machine Learning Overview

Discussion Prompt

Machine Learning in Everyday Life

Videos

Data Terminology
Data Exploration
Data Exploration through Summary Statistics
Data Exploration through Plots
Exploring Data with KNIME Plots
Data Exploration in Spark

Readings

Slides: Data Exploration Overview and Terminology
Description of Daily Weather Dataset
Exploring Data with KNIME Plots
Data Exploration in Spark
PDFs of Activities for Data Exploration Hands-On Readings

Quiz

Data Exploration
Data Exploration in KNIME and Spark Quiz

Discussion Prompt

What's Wrong with Pie Charts?

Videos

Data Preparation
Data Quality
Addressing Data Quality Issues
Feature Selection
Feature Transformation
Dimensionality Reduction
Handling Missing Values in KNIME
Handling Missing Values in Spark

Readings

Slides: Data Preparation for Machine Learning
Handling Missing Values in KNIME
Handling Missing Values in Spark
PDFs for Data Preparation Hands-On Readings

Quizzes

Data Preparation
Handling Missing Values in KNIME and Spark Quiz

Discussion Prompt

Quality Issues with Real Data
Domain Knowledge in Data Preparation

Videos

Classification
Building and Applying a Classification Model
Classification Algorithms
k-Nearest Neighbors
Decision Trees
Naïve Bayes
Classification using Decision Tree in KNIME
Classification in Spark

Readings

Slides: What is Classification?
Slides: Classification Algorithms
Classification using Decision Tree in KNIME
Interpreting a Decision Tree in KNIME
Instructions for Changing the Number of Cloudera VM CPUs
Classification in Spark
PDFs for Classification Hands-On Readings

Quizzes

Classification
Classification in KNIME and Spark Quiz

Discussion Prompt

Why Exclude Relative Humidity?

Videos

Generalization and Overfitting
Overfitting in Decision Trees
Using a Validation Set
Metrics to Evaluate Model Performance
Confusion Matrix
Evaluation of Decision Tree in KNIME
Evaluation of Decision Tree in Spark

Readings

Slides: Overfitting: What is it and how would you prevent it?
Slides: Model evaluation metrics and methods
Evaluation of Decision Tree in KNIME
Completed KNIME Workflows
Evaluation of Decision Tree in Spark
Comparing Classification Results for KNIME and Spark
PDFs for Evaluation of Machine Learning Models Hands-On Readings

Quizzes

Model Evaluation
Model Evaluation in KNIME and Spark Quiz

Discussion Prompt

Model Interpretability vs. Accuracy

Videos

Regression Overview
Linear Regression
Cluster Analysis
k-Means Clustering
Association Analysis
Association Analysis in Detail
Machine Learning With Big Data - Final Remarks
Cluster Analysis in Spark

Readings

Slides: Regression
Slides: Cluster Analysis
Slides: Association Analysis
Description of Minute Weather Dataset
Cluster Analysis in Spark
PDFs of Cluster Analysis in Spark Hands-On Readings

Quizzes

Regression, Cluster Analysis, & Association Analysis
Cluster Analysis in Spark Quiz

Discussion Prompt

Clustering Applications
Applications of Association Analysis

Instructors

UC San Diego Frequently Asked Questions (FAQ's)

1: Who is an instructor of Machine Learning With Big Data Online Certification?

The instructors of the course are Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer.

2: In which time duration the students can complete the Machine Learning With Big Data Online Course?

The programme can be completed within approximately 21 hours.

3: In which languages the subtitles are provided for the course videos?

The subtitles are provided in the languages of Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, English, and Spanish.

4: Is there an instalment option in the fee payment?

Yes, the students can pay the fee in the installment mode.

5: Which university is offering the programme?

University of California San Diego is offering the course.