Big Data Courses

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8 hours agoTo learn Big Data in-depth, one needs to have a basic idea about these technologies:

1. Basic programming
2. Data warehousing
3. Basic statistics
4. Python
5. Java
6. SQL
7. Straight From Business School: Data + Analytics by Udemy - Get this course
8. Data Analytics for Beginners with Google Colaboratory by Udemy - Get this course
9. R Level 1 - Data Analytics with R by Udemy - Get this course
10. Data Analytic Principles/Habits - By Udemy - Get this course
11. Best Overall: Data Scientist Nanodegree (Udacity)
12. Best for Certification: Data Science Specialization (Coursera)
13. Best for Beginners: Data Science for Everyone (DataCamp)
14. Data Science Online Bootcamp (Thinkful)
15. Data Science Career Track (Springboard)
16. IBM Data Science Professional Certificate (Coursera)

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Just NowBrowse the latest online big data courses from Harvard University, In-person, blended, and online courses. All Courses. Online Courses. Free Courses. Big Data Courses. Back Course Filters. Search . Subject Area . Art & Design. Design & Creativity. Creativity.

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4 hours agoExplore a Career in Big Data with Online Courses. Learn the fundamentals of Big Data platforms like Hive, Pig, Spark SQL, Hadoop, HBase, and more and see if a career in this exciting field is right for you. Start with an introductory course from Microsoft and then continue on to the full certificate program.

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9 hours agoAt the end of this course, you will be able to: * Recognize different data elements in your own work and in everyday life problems * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design * Identify the frequent data operations required for various types of data * Select a data model to suit the

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3 hours agoBig Data Free courses from top universities and industry leaders. Learn Big Data Free online with courses like Big Data Essentials: HDFS, MapReduce and Spark RDD and Hadoop Platform and Application Framework.

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Estimated Reading Time: 8 mins
1. TITLE: Big Data Specialization (UC San Diego) OUR TAKE: The beginner-level Big Data Specialization from Coursera takes roughly 8 months to complete, and no prior experience is necessary.
2. TITLE: Big Data Fundamentals with PySpark. OUR TAKE: The DataCamp Big Data Fundamentals training will teach you the basics of working with big data and PySpark.
3. TITLE: Big Data Hadoop Certification Training. OUR TAKE: This module is great for learning all the different parts of the Hadoop ecosystem, including its architecture, the MapReduce framework, advanced Hadoop, and more.
4. TITLE: Knowledge Management and Big Data in Business. OUR TAKE: The edX Knowledge Management training takes roughly 8 weeks to complete, and is a great resource for introductory learning.
5. TITLE: Big Data – What Every Manager Needs to Know. OUR TAKE: This training shows students real-world usage and ROI of big data, which can prepare managers to make optimal decisions about the use, resourcing, risks, and value of big data.
6. TITLE: Certification in Big Data Analytics. OUR TAKE: This module is designed for professionals looking to grow their career in data analytics or data science, or analysts, software engineers, and project managers.
7. TITLE: Apache Spark Essential Training: Big Data Engineering. OUR TAKE: Taught by industry veteran Kumaran Ponnambalam, the learning objectives in this training include Spark and Kafka for data engineering, moving data with Kafka, how Spark works, and complex accumulators.
8. TITLE: Big Data on AWS Training. OUR TAKE: The Mindmajix specialty certification training features 30 hours of live training, 20 hours of lab sessions, and a flexible schedule to work with.
9. TITLE: Big Data: The Big Picture. OUR TAKE: This intermediate-level Pluralsight training will teach you about big data concepts, major technologies, and dominant software tools.
10. TITLE: Big Data Engineer (Master’s Program) OUR TAKE: This program includes live interaction with IBM leadership, more than 120 hours of live interactive learning, a capstone, and 15 real-life projects.

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1 hours agoTop Big Data Courses and Online Training Courses for 2021. Posted on 6 December, 2021 6 December, 2021 by Aman Singh. The demand for Big data certification programs is high at today’s time. It is so because most businesses operate over data extraction, transfer, and analysis to gain helpful information for business growth.

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9 hours agoBig Data Expert Training Find online hadoop courses from expert big data professionals so you have the complete low down of the juiciest data frameworks. Streamlined course material Get the max out of your big data video tutorials with expertly laid out courses that build you a rock solid foundation.

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6 hours agoBig Data Training Course. The US-based International Institute of Executive Careers (IIEC) offers three accredited Big Data Certification programs.Offered 100% online, the courses can be taken at your own pace. Visit Courses10.com to learn more. Also, we …

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1 hours ago

1. Hadoop Starter Kit. If you don’t know, Apache Hadoop is the leading Big Data framework that provides utilities that facilitated using multiple computers to solve problems involving massive data e.g.
2. Scala and Spark 2 — Getting Started. If you are thinking to learn Apache Spark, another great Big Data framework that provides better throughput than Hadoop in many cases with Scala Programming language then this is a great course to start with.
3. Big Data and Hadoop Essentials. This is one of the most popular free Big Data and Hadoop courses on Udemy with over 80,000 students already enrolled in it.
4. Setup Big Data Development Environment. One of the main challenges to start with Big Data development is setting your own development environment. Since Big Data is comprised of many open source technologies like Hadoop, Spark, Pig, Hive, etc it becomes complex to get an end to end environment.
5. Big Data: The Big Picture. One of the mistakes many developers made while learning a new technology or programming language, including me, is directly going into details without understanding the Big Picture.

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7 hours ago

Estimated Reading Time: 8 mins
1. Introduction to Big Data (Coursera) First on my list is an outstanding introductory course on Big Data which is part of a specialization program offered by the University of California San Diego through Coursera.
2. Big Data Fundamentals (edX) For those wanting to learn the basics of data mining and stream processing, this intermediate-level edX course on the fundamentals of Big Data is a great choice!
3. Big Data in the Age of AI (LinkedIn Learning) Big Data is the foundation that has enabled technologies like AI and machine learning to thrive, so if you want to get a nontechnical overview of Big Data, this online course is a fantastic introduction.
4. Learn Big Data: The Hadoop Ecosystem Masterclass (Udemy) As the name suggests, this online Udemy course is perfect for those who have a background in IT and want to learn how to work with Big Data practically.
5. Big Data Analytics with Hadoop and Apache Spark (LinkedIn Learning) Next on my list is an intermediate-level course that is targeted towards those who are already comfortable with the basics of Hadoop/Apache Spark and want to push your learning further.
6. Big Data Specialization (Coursera) If you’re a complete beginner and want a program that will make you job-ready in the Big Data field, then this comprehensive Specialization on Coursera is what you should get enrolled in.
7. Big Data Analytics (edX) Part of the Big Data MicroMasters program on edX is this intermediate-level course that will bring you up to speed with the more programming- and mathematics-related aspects of Big Data analytics.
8. The Ultimate Hands-On Hadoop – Tame your Big Data! (Udemy) True to its name, this intermediate-level online course on Udemy is the right fit for you if you want to become skilled in using the entire Hadoop ecosystem and learn how everything integrates together.
9. Data Engineering, Big Data, and Machine Learning on GCP Specialization (Coursera) Brought to you by Google itself, this 5-course specialization program will make you a job-ready expert on using Google’s Cloud Platform (GCP) for Big Data, Data Engineering, and Machine Learning.
10. Big Data and Education (edX) The introduction of software and online tutoring in education has created a huge wealth of data ripe for analysis. If you’re interested in improving the quality of education by finding actionable insights from all this data, this advanced-level online class on edX is the perfect choice for you.

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3 hours agoOnline big data courses and classes provide a convenient and efficient way of developing or advancing your big data education or career. Each program offers something slightly different and unique, and ranges in terms of curricula focus. Whether you’re learning from scratch or building on your existing knowledge base, there is an online

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2 hours ago

Published: Aug 06, 2021
1. Data Analysis and Presentation Skills: the PwC Approach Specialization. Provider: Price Waterhouse Coopers LLP. Commitment: 21weeks, 3-4hours/week. This specialization includes 5 courses, from data-driven decision making, problem-solving with basic functions of Excel, data visualization with advanced excel, to the business presentation with PowerPoint, and a final project.
2. Data Science Specialization. Provider: John Hopkins University. Commitment: 43 weeks, 4-9 hours/week. Composed of 10 courses, this specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.
3. Big Data Specialization. Provider: University of California, San Diego. Commitment: 30 weeks, 3-6 hours/week. With a total of 6 courses, it covers the main aspects of big data, from the basic introduction, modeling, management systems, integration, and processing, to machine learning and graph analytics.
4. Statistics with R. Provider: Duke University. Commitment: 27 weeks, 5-7 hours/week. With the 5 courses in this specialization, you will learn to analyze and visualize data in R. You will be able to create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference, and modeling.
5. Microsoft Professional Program in Data Science. Provider: Microsoft. Commitment: 56-58 weeks, 2-4 hours/week. Made up of 4 units (10 courses total) and a Final Project.
6. Marketing Analytics. Provider: University of California, Berkeley. Commitment: 16 weeks, 5-7 hours per week. With the 5 courses in this specialization, you are able to get a certificate & credit Pathways upon graduation.
7. Big Data Fundamentals. Provider: IBM. Commitment: 13 hours. It only consists of 3 courses. These courses give a brief introduction to Big Data, Hadoop and Spark.
8. Advanced-Data Structures. Instructor: Prof. Erik Demaine+ Commitment: 22 sessions, 90mins/session. This course serves as a broad overview of the many different types of data structures, including geometric data structures, like a map, and temporal data structures, as in storage that happens over a time series.
9. Python. Instructors: Austin Bingham, Robert Smallshire, Terry Toy, Bo Milanovich, Emily Bache, Reindert-Jan Ekker. Commitment: 3 sessions, 28 hours totally.
10. Java Tutorial for Complete Beginners. Instructor: John Purcell. Commitment: 75 lectures, 16 hours totally. A beginner course to learn the Java programming language.

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5 hours agoThe use of big data analytics has risen, so students are looking for big data analytics courses. The top big data analytics courses offer the maximum knowledge and this article lists the best online course for big data analytics in 2022.

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8 hours agoBig Data Analytics Courses by My Learning Course. At My Learning Course, we offer A to Z information about big data science and this particular industry. You can easily choose as per your interests & requirements to enhance your level of knowledge about the data-oriented industry.

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3 hours ago4.5 (5000) View Details. Deep Learning Course with Tensorflow Certification Course. Machine Learning with Mahout Certification Training. Graphical Models Certification Training. NLP Certification Training with Python. Reinforcement Learning. Data Warehousing and ETL. Snowflake Certification Training Course.

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2 hours agoBig Data Analytics courses are curated by experts in the industry from some of the top MNCs in the world. The main aim of Data Analytics online courses is to help you master Big Data Analytics by helping you learn its core concepts and technologies including simple linear regression, prediction models, deep learning, machine learning, etc.

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3 hours agoEnrol in these big data analytics courses to boost your career growth. The implementation of big data analytics has helped businesses grow by enabling them to make better decisions. Meaningful insights from the trends, correlations, and patterns that exist within big data can be difficult to reveal without vast computing power.

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Estimated Reading Time: 8 mins
1. Post Graduate Program on Data Engineering (Purdue University) Created in collaboration with Purdue University, this professional program will help you learn everything about data engineering.
2. Big Data Certification Course (Coursera) No prior experience is required to take up this specialization. Basics of all the required concepts are thoroughly explained.
3. IBM Data Science Professional Certificate (Coursera) If you have decided to pursue a career in Data Science or machine learning then this is a fairly good place to begin.
4. Ultimate Hands On Hadoop – Big Data Training Course (Udemy) This tutorial will help you to master the most popular big data technologies. There will be an opportunity to design distributed systems that manage big data using Hadoop and related technologies.
5. Google Cloud Platform Big Data Certification (Coursera) This is a one week accelerated on-demand course that aims to introduce the participants to the Big Data and Machine Learning capabilities of Google Cloud Platform.
6. Apache Spark 2.0 with Scala – Hands on with Big Data (Udemy) Gain an opportunity to frame big data analysis problems as Apache Spark scripts and develop distributed code using Scala programming language.
7. Taming Big Data with Apache Spark and Python (Udemy) Frame big data analysis problems as Spark problems and understand how Spark Streaming lets you process data in real time.
8. Big Data Analytics: Opportunities, Challenges, and the Future (FutureLearn) nofollow noopener This introductory course shows you how big data analytics can help you make use of the data we produce.
9. Spark and Python for Big Data with PySpark (Udemy) This program uses both Python and Spark to analyze big data. There are a lot of opportunities to work on projects that mimic real-life scenarios as well as to create a powerful machine learning model with the help of different libraries.

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1 hours agoOur Big Data online training course will help you learn Big Data and upgrade your career in Big Data. Big data is an area that treats ways to analyse, systematically extract info from, or otherwise, deal with data sets that are too big or complex to be dealt with by traditional data-processing application software. .

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4 hours agoYes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona.

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9 hours ago

1. Hadoop Installation and Setup Preview. 1.1 The architecture of Hadoop cluster. 1.2 What is High Availability and Federation? 1.3 How to setup a production cluster?
2. Introduction to Big Data Hadoop and Understanding HDFS and MapReduce. 2.1 Introducing Big Data and Hadoop. 2.2 What is Big Data and where does Hadoop fit in?
3. Deep Dive in MapReduce Preview. 3.1 Learning the working mechanism of MapReduce. 3.2 Understanding the mapping and reducing stages in MR. 3.3 Various terminologies in MR like Input Format, Output Format, Partitioners, Combiners, Shuffle, and Sort.
4. Introduction to Hive. 4.1 Introducing Hadoop Hive. 4.2 Detailed architecture of Hive. 4.3 Comparing Hive with Pig and RDBMS. 4.4 Working with Hive Query Language.
5. Advanced Hive and Impala Preview. 5.1 Indexing in Hive. 5.2 The ap Side Join in Hive. 5.3 Working with complex data types. 5.4 The Hive user-defined functions.
6. Introduction to Pig. 6.1 Apache Pig introduction and its various features. 6.2 Various data types and schema in Hive. 6.3 The available functions in Pig, Hive Bags, Tuples, and Fields.
7. Flume, Sqoop and HBase Preview. 7.1 Apache Sqoop introduction. 7.2 Importing and exporting data. 7.3 Performance improvement with Sqoop. 7.4 Sqoop limitations.
8. Writing Spark Applications Using Scala. 8.1 Using Scala for writing Apache Spark applications. 8.2 Detailed study of Scala. 8.3 The need for Scala.
9. Use Case Bobsrockets Package Preview. 9.1 Introduction to Scala packages and imports. 9.2 The selective imports. 9.3 The Scala test classes. 9.4 Introduction to JUnit test class.
10. Introduction to Spark. 10.1 Introduction to Spark. 10.2 Spark overcomes the drawbacks of working on MapReduce. 10.3 Understanding in-memory MapReduce.

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Frequently Asked Questions

How to learn big data??

To learn Big Data in-depth, one needs to have a basic idea about these technologies:

  1. Basic programming
  2. Data warehousing
  3. Basic statistics
  4. Python
  5. Java
  6. SQL

Which online courses are good in data analytics??

Quick Look: Best Data Analytics Courses

  • Straight From Business School: Data + Analytics by Udemy - Get this course
  • Data Analytics for Beginners with Google Colaboratory by Udemy - Get this course
  • R Level 1 - Data Analytics with R by Udemy - Get this course
  • Data Analytic Principles/Habits - By Udemy - Get this course

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How can I learn big data analytics??

On-line courses and e-learning platforms are among the best bets for up to date information when learning abut big data analytics. Data analytics is an extremely popular topic in the tech industry, and big data professionals are in high demand. Analytics refers to the software and processes that help businesses to interpret and sort big data.

What are the best courses for data science??

These are the best data science courses you can take online:

  • Best Overall: Data Scientist Nanodegree (Udacity)
  • Best for Certification: Data Science Specialization (Coursera)
  • Best for Beginners: Data Science for Everyone (DataCamp)
  • Data Science Online Bootcamp (Thinkful)
  • Data Science Career Track (Springboard)
  • IBM Data Science Professional Certificate (Coursera)

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