9 Best Data Engineering Courses [2022 JANUARY][UPDATED] Free Download

January 17, 2022 Post a Comment

best data engineering course class certification training online

20+ Experts birth compiled this list of Best Data Engineering Course, Teacher, Training, Class, and Certificate available online for 2022. It includes some paid and free resources to help you learn Data Engineering and these courses are eligible for beginners, intermediate learners as well as experts. Check out Information Science Enforcement Breeding Programs.

9 Best Data Engineering Courses, Certificate & Training Online [2022 JANUARY] [UPDATED]

1. Put up Graduate Data Applied science Certification Political program (Purdue University)

If you are interested in pursuing a vocation in data engineering, this postgraduate program is a great choice. Up aside experienced instructors of Purdue University, this program focuses along distributed processing with the Hadoop framework, information pipelines with Franz Kafka, large-exfoliation data processing using Spark, and on the job with big data happening AWS and Sapphire Cloud substructure. During the lessons, you will cover assorted aspects of big data and data engineering, basics of Apache Python, AWS EMR, the Hadoop ecosystem, Kinesis, Sagemaker, and AWS Becloud political program. Moreover, the curriculum is enclosed with additional benefits, such as IIMJobs Pro Membership, Resume Assist, Career Monitoring, and Interview Preparedness.

Key USPs –

– Created in collaboration with IBM, this program offers a high-mesh learning experience with real-world applications to help you master crucial data engine room skills

– Make important knowledge and insights into how to improve concern productivity away processing large volumes of information and extracting valuable information from them

– Learn how to steer the AWS management solace, understand AWS security measures, storage, and database options piece gaining expertise in web services like RDS and EBS

– Work with a capstone project and hands-on exercises that are uncommitted to mental test your cognition and amend your learning skills

Duration: 8 months, 5-10 hours/week

Valuation: 4.7 out of 5

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Review: The course of study was well organized, covering complete the side concepts and relevant period feel for. The trainer was well transistorized to solve all the doubts during the training. Cloud lab facility and materials provided were on point. – Vignesh Balasubramanian

2. Information Engineering Nanodegree Certification (Udacity)

With the exponential increase in the rate of data ontogenesis today, IT has suit increasingly important to engineer data right and extract useful information from it. This nanodegree has been designed with the sole purpose of helping you to teach about the techniques to designing a data model, build warehouses, automate the processing and handle individual scales of information. To enroll in the classes and follow along easy you are required to have intermediate knowledge about Python and SQL. End the lesson by working connected a capstone project and showcasing what you have picked up in the lectures. If you specifically want to excel at Python, then don't forget to check our compilation of Python Certification.

Keystone USPs –

– Use NoSQL, PostgreSQL and Apache Cassandra to make databases and models.

– Explore how obnubilate-based warehouses are built and how they function.

– Get acquainted with with Apache Spark and understand how to work with large datasets.

– Schedule and automate pipelines and monitor the shape up to come with optimizations.

– Interact with your one on one technical mentor to clarify your doubts and get steering.

– Access code to sessions that will groom you for audience prep, improve your resume and more.

– The acquisition schedule is customized to fit your personal goals.

Duration: 5 months, 5 hours per week

Rating: 4.5 out of 5

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3. Data Locomotive engineer Learning Path (Coursera)

If you are look for guidance and knowledge to Menachem Begin your career as a data engineer then this course is one of the high-grade options available online. None experience is needful to commenc your acquisition and you put up abide by a stair-by-step plan based on the relevant recommendations provided to you. Making use of the lectures and custody-on projects to work at your skills and aside the end of the path, you will be ready to apply to your dream job. You may also be interested in checking out Prizewinning Data Science Course.

Key USPs-

– The lessons can be accessed on any device and anytime.

– Communicate with your peers by participating in the forums and share ideas and doubts.

– Function on real-life projects and add them to your portfolio that can be showcased in job interviews.

– Improve the business treasure of your company away building data models, database systems and using business intelligence tools.

– Deploy Milliliter systems connected Google Cloud Weapons platform that stool be used for developing a solution.

Duration: Self-paced

Military rating: 4.6 dead of 5

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4. Professional Certificate in Data Technology (MIT xPRO)

This occupation certificate is designed to assistant you start a calling in this high-growth branch of knowledg by gaining exposure to various aspects of data engineering. Connection this respective curriculum will enable you to larn code in Python, use SQL to create databases, and understand how networks like Ips, servers, and security measures. You'll learn how to manage big data with data warehousing and workflow direction platforms with cutting-edge data engineering proposals and tools to supervise information. The syllabus is prepared with high-quality video lectures, hierarchic assignments, quizzes, and really-world examples. Besides, you'll get to build a GitHub portfolio of your projects to parcel with potential employers.

Tonality USPs –

– A well-structured program systematic to assistance you larn and understand the critical aspects of information technology

– Learn to wrangle and analyze millions of pieces of data using databases in Python while learning the basic principle of Python scheduling

– Learn to work with relational databases victimization SQL and how to work with Python to create databases and host pipelines

– Be intimate how to integrate various tools with the help of Python and examine the security of data, create related APIs, and obtain a deeper understanding of data wrangling

Duration: 6 months, 15-20 hours/week

Evaluation: 4.6 out of 5

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5. Information Science (Berkeley ExecEd)

Berkeley-Exective-Education Specifically designed for mid-calling managers and C-retinue professionals, this bird's-eye curriculum bequeath enable you to learn how to consumption information to create impactful decisions for your organization. Registering for this enforcement program will allow you to learn common techniques for turning information into business insights to adopt a data-driven mindset. The program comprises 8 encyclopaedism modules, including Probabilistic Deciding, Examination Speculation, Basic Reversion Models, Forecasting Machine Learning, etc. From each one of these modules will leave comprehensive knowledge about data science topics to improve your skills. Subsequently finishing the program, you'll be competent to work in effect with data science and analytics teams to crusade line of work decisions and successful outcomes for your organization.

Key USPs –

– Get a brief introduction to the foundations behind data science and analytics while exploring the of import importance of data

– Determine the uncomparable methods used to analyze the pros and cons of business decisions via the exploration of sampling, type I and type Two errors

– Learn how to ask the right questions, and the language used to communicate with data scientist with appropriate methods to answer specific business questions

– Learn effectual methods for information representation and how to read data more effectively away understanding the most common techniques

Continuance: 10 weeks, 6-8 hours/workweek

Rating: 4.7 out of 5

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Review: Employed with Jupyter Notebook, having access to a good online platform with a concentre on proper life cases and erudition facilitators added much of value in my learning journey throughout this programme. – Dmitry Karablinov

6. Post Graduate Data Science Certification Program (Purdue University)

Offered in association with Purdue University, this subjective course of study is organized for working professionals and mid-level managers to assistant them gain knowledge of job-quibbling topics like Python, R, Machine Learning algorithms, and NLP concepts. Enrolling therein comprehensive political platform volition allow you to learn data visualization with Tableau via an synergistic learning model . The political program consists of triplex learning modules focusing connected specific topics like Data Science with Python, Motorcar Learning, Python for Data Science, etc. Besides, it also provides two additional electives, including an industry masterclass happening data scientific discipline. After finish the program, you'll make up well-versed in descriptive statistics, mannequin building and fine-tuning, and supporting players learning.

Francis Scott Key USPs –

– A detailed learning complex body part that will be delivered via live sessions by global practitioners, practical labs, and manufacture projects

– Prepared in coaction with IBM with approach to the IBM taint lite explanation and factual-world case studies created by industry experts

– Discover R programming for information science while learning how to write R encrypt, utilise R data structures, and build your personal functions

– Better your business hunt with the Simplilearn Problem Assist program with extensive services look-alike re-start aid, interview preparation, and career mentoring

Duration: 12 months, 5-10 hours/week

Rating: 4.6 out of 5

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Review: The PG in Data Skill with Purdue realisation is the result of one yr of extensive erudition, exploring, analysis & coding. – Awadhesh Pathak

7. Data Engine room with Google Cloud (Coursera)

This ripe credential program is organized to help you con the skills that you need to improve your career in data engineering. In this program, you will get extra training to prepare you for the industry-recognized Google Obnubilate Professional Data Engineer certification. The program is enclosed with a combination of presentations, demos, and labs that are designed to help you understand the core concepts to a greater extent distinctly. During the program, you will be able to make data-compulsive decisions by collecting, transforming, and publishing information, too as you will gain real-world experience via a number of active Qwiklabs projects. After coating the program with the given throw, you will earn a certificate of completion that stern be shared with employers.

Key USPs –

– Get the chance to use essential job skills, such as designing, construction, and running data processing systems and operationaliz9ing motorcar learnedness models

– Learn the vital skills that you need to become a successful data engineer by covering all the major concepts with this course of study

– Consists of six various courses that are focused on up your knowledge in Google Cloud platform equal Big data, auto eruditeness, etc.

– Cover varied technologies that are available on Google Cloud platform for data transmutation, such as BigQuery, executing Muriel Spark on Cloud Dataproc, etc.

Duration: Self-paced

Rating: 4.7 out of 5

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8. Data Engineering, Bad Data along Google Cloud Political program (Coursera)

This comprehensive specialization offered by Google Cloud is designed to provide you with practical knowledge of information processing systems on GCP. Throughout the classes, you will check how to design the systems first in front going up with the development process. Unconnected from this you will also analyze both structured and unstructured information, enforce autoscaling and apply Cubic centimeter techniques to extract info. In incase you are interested in becoming major at machine learning, don't bury to check out or s of the Cover Machine Learning Courses.

Key USPs-

– Use open-source software much every bit TensorFlow, Cloud ML to school and anticipate solutions.

– BigQuery is put-upon to draw insights from banging datasets after information technology is transformed, cleansed and validated.

– Apart from stored data gain information from an instant stream of data.

– Design and designer pipelines which form the base of the infrastructure.

– The spinnbar deadline allows you to discover at your own yard.

– Complete the hands-connected assignments and assessments to gain the certification.

Duration: 1 calendar month, 16 hours per workweek

Rating: 4.5 out of 5

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9. Get on a Information Engineer: Mastering the Concepts (LinkedIn Learning)

In this learning path, you will explore all the essential concepts that bequeath equip with you the skills required to go through them in real-world situations and pursue a career in this field. Begin with the foundational education that will acquaint you with the necessary technical jargons and concepts before moving on to databases that can be victimised to stash awa and manage any weighing machine of information. Once you are cooked with these important concepts you can indulge in the various tools and ASCII text file software program that will show you how to architect big data applications, establish information pipelines, do by really-time apps using Hazelcast and Apache Spark to distinguish few crucial topics.

Key United States Postal Service –

– Understand how to do nucleus data technology tasks such as staging, cleansing, and migrating data.

– Work on NoSQL to improve tractableness and performance of the solutions that you develop.

– Introductory lectures talk virtually how to make use of the exercises and perform the necessary configurations for the tools used.

– Explore HBase architecture and Hadoop database.

– Learn about the best practices and use cases for working with both stored as substantially arsenic a pour of information.

– Lectures and exercises and be accessed some online and offline.

– Get free access to all the content for the first thirty days later sign language up.

Duration: 16 hours

Rating: 4.6 out of 5

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10. Data Engineering Courses (edX)

This e-learning chopine has compiled a serial publication of programs that with take a leak you well-known with this field and conduct you in your journey to design analytical solutions. The options are categorized based on the level of difficulty so that you can choose unitary according to your current experience even. Some of the bestsellers let in strategies to transmute your business, analytics victimisation Spark, and enterprise data management.

Key USPs-

– Choose from individual courses, micromasters program, and professional certifications.

– Key tools exploited in the lectures include Trigger off, Hadoop, Lazuline.

– Decide which database works best founded on the solvent.

– Attempt the quizzes, and exercises that follow the possibility lectures.

– Thoroughgoing guidance is provided to prepare up the surround for the software and tools used in the programs.

– Get examples that demonstrate how solutions are devised in very life.

– Most of the courses lavatory be audited for free.

Duration: Self-paced

Rating: 4.5 out of 5

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11. Big Information for Information Engineers Certification (Coursera)

This course has been out of print

If you are interested in jump-starting a career in one of the in-demand fields like-minded Information Analyst, Scientist or Applied scientist then this is the program for you. The classes research topics such as Hadoop, MapReduce, Spark that are accompanied by virtual assignments. Once you have built a strong foundation you can go up connected to data processing in real-time and applying machine learning along a large scale. The curriculum is designed in such a style that by the time you end the specialization you will not single have the theoretical knowledge to assume more advanced classes but also some experience with the relevant tools and software.

Key USPs-

– The specialization consists of four concise courses with increasing level of difficulty.

– Learn to deploy the designed models in a production surround.

– Work on secret writing exercises and understand the topics inside and proscribed.

– The teacher explains all the topics in great detail and helps to clear doubts.

– Gain best practices and tips from some of the top professionals in this subject area.

– Graded assessments, quizzes, and assignments with feedback help you to measure your grasp on the topics covered and improve your weak areas.

Continuance: 8 months, 8 hours per week

Rating: 4.5 out of 5

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So these were the Incomparable Data Engineering Tutorial, Class, Row, Training &A; Certification available online for 2022. Hope you saved what you were looking. Wish you a Happy Learning!

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