In this digital era, we are surrounded by big data. We are surfing the internet to do various tasks (like shopping, advertising, social media marketing, searching on different web browsers, and so on) that generate large amounts of data.
On the other hand, big companies have to deal with huge datasets for analyzing and making business decisions on the basis of insights from data. Thus, the demand for Big data engineers is increasing day by day to handle and process big data smoothly.
If you want to build your career as a big data engineer, then you are at the right place. In this article, you will know the best Big Data Online courses where you learn how to extract, process, store, manage, and analyze datasets by using Hadoop, Spark, and advanced technology from different platforms like Coursera, Datacamp Courses, and EDX.
Explore your career as a big data engineer with Big Data Online Courses and its tools for getting a higher-paid job in big companies like Amazon, Flipkart, Google, and so on.
Before explaining about courses, you need to know the skill sets required for Big Data engineering, Have a look at the prerequisites:
Skills required to become Big Data Engineer:
Handling complex and big data is not a cup of coffee for everyone. You need to acquire knowledge of advanced tools and techniques for collecting, maintaining, extracting, testing, and analyzing big data to get insights for making business decisions and earning profitability. There are the following skill sets that are necessary to become Big Data Engineer:
- Data Visualization
- Machine Learning – You can find the best machine Learning Courses here
- SQL and NoSQL
- Multi-Cloud Computing and AI
- Data Pipelines
- Programming Languages (Python and R)
- Big Data Frameworks (Hadoop-based technologies)
- Real-Time Processing Framework (Apache Spark)
- Hyper Automation
Therefore, Big Data Engineers must have the above skills to maintain their role and responsibilities towards their company by maintaining complex data management and processing systems effectively.
If you are willing to become a successful Big Data Engineer, join Big Data Online Courses to learn multiple Big Data frameworks, tools, and techniques to create, process, and analyze complex data in a system efficiently.
Now, you are going to know Top Big Data Online Courses that will help you to choose the right one for your bright future.
8 Best Big Data Online Courses to Learn in 2023
Coursera is the ultimate platform to learn big data where you will get Big Data Specialization, offered by UC San Diego to enhance your knowledge and skills. If you are a beginner and interested in learning about big data, not an issue, you can enroll for free in this course and get a 7-day free trial.
There is no need for prior experience in computer science and programming to start your learning hassle free. Under this course, you will understand the basics of Big data, Big Data Modeling and Management Systems, Big Data Integration and Processing Machine Learning with Big Data, and Graph Analytics for Big Data.
with a basic introduction to Big Data for gaining in-depth details about the fundamentals of Big Data and its impact on real-world problems.
you will also be familiar with the 5-step process to extract the value of Big Data for further analysis and analyze the problems to find out whether it’s related to big data or not.
On the other hand, you will understand the frameworks of Big Data – Hadoop and its models like HDFS, YARN, and MapReduce to collect, process and organize data effectively. you how you can manage the data and how you can apply tools and techniques to operate streaming data for solving daily life problems.
you will learn how to perform big data integration and processing operations on Hadoop and Spark platforms to retrieve, reconcile, and restructure data from different resources for business decision support.
Further, you will get a wonderful experience in machine learning techniques and algorithms for Big Data to explore, analyze and leverage data for solving Big Data problems. you will understand graph analytics for big data to explore the relationships among entries in a graph database for quicker decision-making.
At the end of this Big Data Training program, you will work on the Capstone Project for Big Data to explore your knowledge and skills to solve business problems. You will learn some advanced tools like KNIME, Spark’s MLLib, and Gephi to polish your portfolio for getting a higher-paid job in an IT company.
Accelerate your Data Engineer career with IBM Certification Courses. Here, we are discussing the IBM Data Engineering Professional Certification course where you will get 13 specializations to explore your knowledge in the field of data engineering.
However, you need no prior knowledge of computer science and coding is required to enroll for free in this learning program. Even 33,827 already enrolled in this lucrative training program. So, you can start from zero and reach the top level of the data engineer position.
This course introduces the fundamentals, processes, and tools of data engineering to give an in-depth understanding of the data ecosystem with its components (like data types, formats, and data sources).
After this, you will be familiar with Python Programming Language and its libraries (such as Pandas, Numpy & Beautiful Soup) to implement data collection and web scraping techniques with APIs on real-world datasets. Additionally, you will learn how to use ETL, Jupyter Notebook, and Python algorithms for data engineering.
you will understand the core concepts of RDBMS to find relationships among the different datasets by using SQL, NoSQL, IBM DB2, MySQL, and PostgreSQL tools. Furthermore, you will learn how to apply ETL and create pipelines to analyze road traffic data with the help of Shell, Airflow and Kafka.
Under this course, you will be familiar with Big Data and understand its features, pros & cons, and applications by using advanced frameworks like Spark, Hadoop, and Apache.
At the end of your learning journey, you will learn data engineering and machine learning mechanisms to perform Regression, Classification, and Clustering operations on datasets with the help of Apache Spark, Spark MLlib, and Spark Structured Streaming.
After completion of this course, you will get practical experience in Data Engineering through hands-on projects and case studies.
Launch your career as a Big Data Engineer with Big Data Certification Course offered by UCSan Diego via Coursera. This course is designed for those who are the fundamentals of big data problems, frameworks to solve them, and the complete process of big data in a system.
This is the best big data course for beginners where you will learn the Big Data landscape to understand the visual representation of an organization’s data for creating, analyzing, processing, and disseminating it in the company’s environment to solve real-world problems.
Further, you will be familiar with the six V’s of Big Data (such as volume, velocity, variety, veracity, valence, and value) to know the determinants of the big datasets.
By the end of the course, you can differentiate between Big Data problems and data problems and convert them into data science questions.
On the other hand, you will be friendly with architectural components and programming models for scalable big data analysis. Additionally, you can use Hadoop, HDFS, MapReduce, and YARN to find the data in the cluster through the mapping system.
In this learning platform of Coursera, you will get a variety of Google Certification Courses to explore your career as a Data Engineer, Data Scientist, and Data Analyst. But, If you are interested in building your career in Big Data, then you can begin your career with this course offered by Google.
you will become familiar with the concepts of data engineering, Big Data, and machine learning on GCP to stand out in the job market. To enter this course, you must have some basic knowledge of related topics.
This Course introduces five specializations where you will start your learning journey by working on Google Cloud Server to understand the data-to-AI life cycle by using machine learning techniques and models with Vertex AI and Big Data pipelines.
After this course, you will understand data lake and warehouse methods on Google Cloud to store, process, organize, and filter Big Data.
you will get experience in building batch data pipelines on GCP for data transformation to extract, transform, and load paradigms by using advanced tools like BigQuery, Spark on Dataproc, Pipeline Graphs in Cloud Data Fusion, Dataflow, and Qwiklabs.
In the next course, you will learn how to build and manage a streaming data pipeline on Google Cloud for analyzing Big Data by using Dataflows and Pub/Sub techniques.
By the end of this course, you about machine learning advanced tactics used for artificial intelligence like BigQueryML and AutoML for analyzing big data smartly.
Wrap up this Big Data Training program by getting hands-on experience in developing projects on Google cloud with Qwiklabs to increase the worth of your portfolio in the job market.
Big Data Fundamentals with PySpark through Datacamp Courses. This course is a complete package of four chapters and 55 exercises where you will gain the knowledge of the core concepts of Big Data, Python library PySpark, SQL, Data Framework, and machine learning by using Python for analyzing and processing big data in the organization.
Even 36746 learners have already taken the advantage of these Big Data Online Courses and get job-ready skills to stand out in the market.
Kickstart your learning with fundamentals and the three V’s of Big data for analysis and various frameworks with Pyspark. However, you will learn Python programming, Pyspark RDD, and its lambda functions for mapping and filtering big data.
In the next chapter, you will be familiar with Spark SQL for Structured Data Processing and Dataframes to perform different tasks (import, clean, Inspect, analyze, process, and filter) on big data.
At the end of this Big Data Training Program, you enable using PySpark MLlib algorithms for applying machine learning concepts like classification, clustering, regression, and visualization to build and train data models for Big Data analysis.
This course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University for business tycoons or non-technical background students where you will learn about knowledge management, how to handle big data and work on cloud computing and its impact on business.
At the beginning of this course, you will learn about knowledge management and how it will help increase the performance of an organization.
you can apply your knowledge and skills to transform traditional business methods into trending digital marketing strategies and the role of social media in creating business images. Further, you will learn how to use data analytics on Big Data to enhance business values and make business decisions.
These Big Data Training sessions will teach you tools and techniques to extract, process, analyze, and manage big data to get insights for exponential business growth.
By the end of this learning program, you will work on cloud-based technologies to give valuable business services and enable you to work on live business projects.
To enroll in this ultimate course, no prior technical knowledge is required. If you belong to a humanities, management, social science, or physical science background, you can start your learning immediately.
Introduce yourself to the Big Data world by learning Big Data, Hadoop, and Spark basics with IBM where you will be familiar with the fundamentals of big data, its tools, and techniques to analyze datasets with the help of Hadoop and spark frameworks for handling big organization’s business processes.
To join this lucrative program, you must have a CS & IT background and be interested to know how to organize data in the business world.
Under this Big Data Training program, first of all, you will learn core concepts of Big Data, understand its impact on business, and work with the tools of Big Data, processing methods (like Parallel Processing, Scaling, and Data Parallelism), and use cases.
The second module will teach you the fundamentals of the Hadoop ecosystem, and different modules of Hadoop (such as HDFS, Hive, HBase, Spark, and MapReduce) for storing, processing, and analyzing Big Data.
you will get expertise in Apache Spark, DataFrames, and SparksSQL by learning their functional programming basics and real-world usage on Big datasets.
Furthermore, you will gain in-depth knowledge of Resilient Distributed Datasets (RDD) to allow parallel processing through Spark Clusters. Additionally, you will gain practical experience in ETL with Data-frames and Pyspark to prepare for developing hands-on projects.
By the end of the Big Data Certification course, you will understand Apache Spark architecture, and Cluster Modes, and learn how to run its applications of IBM Cloud Service and how to configure Apache Spark.
Moreover, you will have practical knowledge through Labs on IBM Spark Environment in Watson Studio and Spark on Kube for creating, operating, processing, and managing data models.
Lastly, you can monitor the status and resource consumption of your Spark cluster and process streaming data by using Apache Spark User Interface.
If you are going to enhance your skills and knowledge in Big Data Work, check out Linkedin Learning Courses for Big Data Engineering.
You will find various big data courses online on different platforms, but this is one of the best online training programs with expert professor Mr. Kumaran Ponnambalam who has been working on data for more than 20 years.
During this training session, you will learn how to use Apache Spark with Big Data technologies and you will work on an end-to-end project to solve real-world problems.
In this course, you will gain in-depth knowledge of how to combine Apache Spark with other Big Data tools for building data pipelines to develop data analytics and data science applications.
First of all, you will understand the fundamentals of data engineering and the difference between Data engineering, data analytics, and data science to clear your conceptual understanding.
Furthermore, you will be familiar with the functions of Data engineering and the capabilities of Spark with ETL for processing and analyzing large amounts of data in real-time.
On the other hand, you will learn batch and real-time processing pipelines and use cases to understand how to schedule data pipelines in batches to process, store, and analyze the streaming data.
By the end of the course, you will work on live projects to showcase your skills and knowledge to solve big data problems. After completing this course, you will earn a certificate and will go ahead in the big data engineering journey.
Hopefully, you enjoyed this article while reading and have a lot of details about the best Big data Online courses from different platforms.
So, you can select any Big data learning programs as mentioned in this article. If you are a fresher or new learner, you can start with Introduction to Big Data and continue your learning journey with advanced courses for big data with Apache Spark and Hadoop frameworks.
On the other hand, if you are an IT professional, you can enhance your skills and knowledge to get a promotion and hike in salary with Google Certification Courses, IBM Courses, and so on.