Big data has been driving the business for quite some time, still, companies are facing challenges in getting high-quality talent in data science and big data skills. The shortage of talent and a surge in jobs is driving many people to change their careers towards big data and data science. It is the right time that you learn about this super trending topic of 2020.

Acquiring big data and analytical skills is not as difficult as you think it to be; there are several free online courses that you can consider taking up. We have listed ten such free big data courses from the leading e-learning platforms, which are either open or auditable, pick the one that suits your requirements and start your upskilling journey.

 

Big Data and Machine Learning Fundamentals

Course Description

It is a 2-week on-demand course that will help you to learn about the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). Explore the Google Cloud Platform and dive deeper into the data processing capabilities.

Course Requisites

You must have prior knowledge of –

  • A common query language such as SQL
  • Extract, transform and load activities
  • Data modeling
  • Machine learning and/or statistics
  • Programming in Python

Course Details

Duration – 2 Weeks
Skill Level – Intermediate

Course Inclusive

Week – 1

  • Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
  • Recommending Products using Cloud SQL and Spark
  • Predict Visitor Purchases with BigQuery ML

Week – 2

  • Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
  • Classify Images with Pre-Built Models using Vision API and Cloud AutoML

 

Introduction to Big Data 

Course Description

The course is a part of the Big Data program from Microsoft and covers the fundamental concepts and technologies for Big Data scenarios. You will get to learn the basics of working with data, the ways Microsoft Big Data curriculum work, basics of data formats, technologies, databases, and techniques, among others.

Course Details

Duration – 3 weeks
Skill Level – Beginner

Course Inclusive

Module 1: Introduction
Module 2: Data Basics
Module 3: Fundamentals of Databases
Module 4: Introduction to Big Data

 

Big Data Fundamentals 

Course Description

This course is a part of the Big Data MicroMasters program by the University of Adelaide. It is designed to help you in analyzing massive organizational data sets. You will learn about the application of MapReduce, the rate of occurrences of events in big data, designing algorithms for stream processing, and counting of frequent elements in Big Data. In addition, learn how to design PageRank algorithms and understand underlying random walk algorithms.

Course Details

Duration – 10 hours
Skill Level – Advanced

Course Inclusive

Section 1: The basics of working with big data
Section 2: Web and social networks
Section 3: Clustering big data
Section 4: Google web search
Section 5: Parallel and distributed computing using MapReduce
Section 6: Computing similar documents in big data
Section 7: Products frequently bought together in stores
Section 8: Movie and music recommendations
Section 9: Google’s AdWordsTM System
Section 10: Mining rapidly arriving data streams

 

Managing Big Data with MySQL

Course Description

It is a beginner level course by Duke University specifically designed for Big Data aspirants. The course introduces you to using relational databases in business analysis, and understand how data should be collected in business contexts.

Course Details

Duration – 46 Hours
Skill Level – Beginner

Course Inclusive

Week 1 – Understanding Relational Databases
Week 2 – Queries to Extract Data from Single Tables
Week 3 – Queries to Summarize Groups of Data from Multiple Tables
Week 4 – Queries to Address More Detailed Business Questions
Week 5 – Strengthen and Test Your Understanding

 

Learn Hadoop and Big Data by Building Projects

Course Description

The course is a comprehensive guide to help you learn the concepts and technologies of Hadoop and Big Data, such as MapReduce, Python, Apache Pig, Kafka Streaming, Apache Storm, Yarn and Zookeeper, Apache Sqoop, Apache Solr, Apache Flume, Apache HCatelog, and many more. You will explore more on the topics through related concepts and technologies associated with the software into meaningful tasks and concepts. Earn a Certificate of Completion.

Course Details

Duration – 10 hours
Skill Level – Advanced

Course Inclusive

  • Add Value to Existing Data with MapReduce
  • Hadoop Analytics and NoSQL
  • Kafka Streaming with Yarn and Zookeeper
  • Real-Time Stream Processing with Apache Kafka and Apache Storm
  • Big Data Applications for the Healthcare Industry with Apache Sqoop and Apache Solr
  • Log collection and analytics with the Hadoop Distributed File System using Apache
  • Data Science with Hadoop Predictive Analytics
  • Visual Analytics with Apache Spark on Yarn
  • Customer 360-degree view, Big Data Analytics for e-commerce
  • Putting it all together Big Data with Amazon Elastic Map Reduce

 

Big Data and Education 

Course Description

In this course by the University of Pennsylvania, you will learn different data analytics methodologies in educational data mining, learning analytics, learning-at-scale, student modeling, and artificial intelligence communities. You will get to learn about applying methods using Python’s built-in machine learning library, sci-kit-learn, using standard tools such as RapidMiner, and answering practical educational questions.

Course Details

Duration – 8 Weeks
Skill Level – Advanced

Course Inclusive

Week 1 – Prediction Modeling
Week 2 – Model Goodness and Validation
Week 3 – Behavior Detection and Feature Engineering
Week 4 – Knowledge Inference
Week 5 – Relationship Mining
Week 6 – Visualization
Week 7 – Structure Discovery
Week 8 – Discovery with Models

 

Big Data Analytics  

Course Description

This online program from the Queensland University of Technology is a flexible course that offers you a practical insight into big data and helps you understand more about the popular tools for collecting, analyzing, and visualizing it.

Course Details

Duration – 12 weeks
Skill Level – Beginner

Course Inclusive

Big Data: from Data to Decisions
Big Data: Statistical Inference and Machine Learning
Big Data: Mathematical Modelling
Big Data: Data Visualisation

 

Analyzing Big Data with SQL

With the help of this course, you can explore and navigate databases and tables using different tools, understand the basics of SELECT statements, work with sorting and limiting results, grouping and aggregation to answer analytic questions, and combine multiple tables in different ways.

Course Details

Duration – 18 Hours
Skill Level – Beginner

Course Inclusive

Week 1 -Orientation to SQL on Big Data
Week 2 -SQL SELECT Essentials
Week 3 -Filtering Data
Week 4 -Grouping and Aggregating Data
Week 5 -Sorting and Limiting Data
Week 6 -Combining Data

 

Big Data Modeling and Management Systems

Course Description

With this course by the University of California San Diego, you can learn about big data management systems, analytical tools, and techniques using real-time and semi-structured data examples. Get to know more about the applicable systems and tools including AsterixDB, HP Vertica, Impala, Neo4j, Redis, and SparkSQL. Also, you will get to explore techniques to discover and derive values from new data sources.

Course Details

Duration – 6 weeks (Total – 13 Hours)
Skill Level – Intermediate

Course Inclusive

Week 1 – Introduction to Big Data Modeling and Management
Week 2 – Big Data Modeling
Week 3 – Big Data Modeling (Part 2)
Week 4 – Working With Data Models
Week 5 – Big Data Management: The “M” in DBMS
Week 6 – Designing a Big Data Management System for an Online Game

 

Big Data, Genes, and Medicine on Coursera

Course Description

This course by the State University of New York covers topics on Big Data Science and Bioinformatics, and you will get to master Big Data analytics on real datasets, including Next Generation Sequencing data, in healthcare and biological context. It will also help you in preparing data for analysis, interpreting the results, visualizing them, and sharing the results in real-world scenarios.

Course Details

Duration – 6 Weeks (Total – 23 Hours)
Skill Level – Advanced

Course Inclusive

Week 1 – Genes and Data
Week 2 – Preparing Datasets for Analysis
Week 3 – Finding Differentially Expressed Genes
Week 4 – Predicting Diseases from Genes
Week 5 – Determining Gene Alterations
Week 6 – Clustering and Pathway Analysis

 

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