Online Big Data Analytics Using Spark Certification Course

How it Works:

Step 1: Take a course

To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.

Step 2: Complete all modules / articles / hands-on Project

You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate

Step 3: Earn a Certificate

When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

Minimum Eligibility :

• Must have a computer with good internet connection.
• Must have the desire to receive training for Big Data with Spark.
• Should have a basic understanding of Core Java and SQL.

Who is this course for :

Big Data with Spark certification training online course is best suited for:

• Data Management
• Analytics professionals
• Software Developers and Architects
• Senior IT professionals
• Testing and Mainframe professionals
• Business Intelligence professionals
• Project Managers
• Aspiring Data Scientists
• Graduates looking to begin a career in Big Data Analytics.
• People familiar with programming languages including Java, Python, and C++

Course Comparison :

Below are the best online course providing portals. Hop on to these to compare course modules, certifications, features, duration, fees and other benefits and choose the one that best suits you.

What you will learn :

• Statistical theories [from intermediate to expert]
• Python, Excel, and Tableau for exploratory data analysis
• Data Procuring, Transporting, Modification, Filtration, Assessment, and Representation with Python Model Planning, Data Modeling, and Model Evaluation with real-world case scenarios
• Multiple Machine Learning approaches and their execution in the curriculum via practical learning exercises.
• Effective Data Visualizations should be used to convey the results.

Skills you will Gain :

• Big Data
• Data Modelling
• Apache Spark
• Data Visualizations
• Performing Data Analysis Tasks
• Data Plotting & Processing
• Statistical Analysis
• Machine Learning Methods

Benefits of this course :

• Earn your certificate: This program is in-depth, and this credential demonstrates that you have mastered the area.
• High salaries: The need for Big Data experts such as Data Analysts, Data Scientists, Data Architects, and others is expanding in tandem with the growing amount of data. Companies like Amazon, Google, Facebook, Microsoft, and others pay their Big Data experts a lot of money to work on their consumer data.
• Every industry makes use of big data: Data professionals aren't limited to working in a few industries; instead, they contribute to a wide range of industries. Manufacturing, finance, communication, information technology (IT), logistics, retails and autos are just a few of the fields in which you can work.
• Enhancement of abilities: Learning Big Data might be your finest investment, providing you with expertise that you will need not just in the field of big data, but also in your everyday life. Even if you don't want to pursue a job in Big Data, statistics and problem-solving abilities are valuable and extremely practical for you.
• It gives you a competitive advantage: Making data-driven judgments is one of Big Data's primary capabilities. The process of making judgments based on data analysis rather than intuition is known as data-driven decision-making. Rather than making a judgment based on previous experiences, potential future patterns are the base of the decisions taken.

Average Salary :

This course brings to you the opportunity to earn a hearty sum of money by working at some of the best places expected by you. The average salary you can expect has been given below.

• Minimum Salary: $100,000 USD (Annually)
• Maximum Salary: $200,000 USD (Annually)

Future Scope :

The need for Big data analytics is skyrocketing as the number of datasets grows throughout the universe. Estimates suggest that by 2025, data will have grown to zettabytes. As a result, the demand for Data Analysts, Data Architects, Data Engineers, and Data Scientists will continue to rise. Data analysts will become increasingly important in the future. So, whether you want to become a Big Data Engineer, Big Data Analyst, or Data Scientist, now is the time to register in a suitable institute that you can find on our website.

As previously mentioned, the Big Data industry is expected to develop at an exponential rate throughout the world, with no indications of slowing down in the long run.