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Henry Harvin® Ranks #1 for Data Science Courses by India Today
Become Specialized in the most effective Big Data Technology and efficiently use advanced Analytics Technique | Master the big data ecosystem tools and technologies like HDFS, YARN, MapReduce, Hive, & more | Use advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing to gain new insights
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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®
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This course covers various important frameworks Hadoop and Spark, which provide some of the most important tools to carry out enormous big data tasks. The course will equip the introduction to Big data and soon will advance into big data ecosystem tools and technologies like HDFS, YARN, MapReduce, Hive, & more
It is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Become a part of the Elite School of Data Science & Analytics of Henry Harvin® & join the 4,00,000+ strong Alumni Network Worldwide
Know the complete offerings of our Big Data Analytics Certification Course
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Module 1: Hadoop: Master your Big data
Module 2: Hive: Big data SQL
Module 3: Spark: Stream and analyze the big data
Module 4: Apache Kafka - A distributed streaming platform
Module 5: Advanced Spark
Module 6: Complementary Module 1: Soft Skills Development
Module 7: Complimentary Module 2: Resume Writing
Know the complete offerings of our Big Data Analytics Course
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Memory Tuning
Cluster Management
Data Analysis
Data Broadcasting
Data Locality
Dynamic Resource Allocation
Know more about 50+ tools covered in this Big Data Analytics Course
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Know more about the value of this certificate in the industry
We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.
Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.
Data Analyst
Big Data Engineer
Data Scientist
Business Intelligence Analyst
Big Data Architect
Machine Learning Engineer
Data Consultant
Data Warehouse Manager
Market Analyst
Big data analytics is the application of sophisticated analytic techniques to very large, diverse big data sets consisting of structured, semi-structured, and unstructured data from various sources ranging in size from terabytes to zettabytes.
Acquire the necessary skills to store, process, and analyze data to inform business decisions in the digital age. In this course, part of the Big Data MicroMasters program, you will expand your understanding of big data analytics and hone your programming and mathematical abilities. Henry Harvin offers the best Big Data Analytics training.
Two well-known examples are Amazon Prime and Spotify, both of which use Big Data analytics to suggest specific shows and songs for particular users.
Choosing a career in Big Data Analytics will be a fantastic career decision, and it may be exactly the type of position you have been seeking. The median salary for Data Scientists is $116,000 per year, so professionals in this field can anticipate an impressive income. So enroll in Henry Harvin’s Data Analytics courses to skyrocket your career graph.
A 10+2 diploma in Physics, Chemistry, and Mathematics from an accredited institution. To be admitted to Data Analytics courses, candidates must also possess a 10+2 certificate with a minimum of 60 percent.
The brief answer to the query mentioned above is NO! Primarily, novices have the misconception that learning a Data Analyst course is difficult. As they learn more about Big Data Analyst, they realize it is a field of study that can be mastered through diligence.
Three categories of big data
Yes, Big Data Analytics training requires coding because it employs languages such as Python and R to develop machine-learning models and manage massive datasets.
The most enticing advantages of Big Data Analytics are:
Seven Demanding Data Analyst Skills for Employment in 2023
Here is the list of the top industries using Big Data applications:
Each variable can affect how long it takes to comprehend big data fundamentals, but four to six months is a reasonable estimate.
Data Science is exclusive to individuals with an IT background. It is a pervasive fallacy that many individuals believe. While it is true that some IT professionals wish to advance their skills in analytics, this discipline is not restricted to those with a programming or IT background. Even if you are from a non-IT background, Henry Harvin will help you learn the Data Analytics training certification course.
Widespread use of Big Data Analytics software enables meaningful analysis of large data sets. These software analytical tools facilitate the discovery of current market trends, customer preferences, and other data. In conventional databases, processing vast amounts of data is very challenging.
Here are four methods you can continue to learn and advance as a Big Data professional so you're prepared to level up.
YES, there are many employment openings for new graduates in the Big Data Hadoop field. To obtain these positions, candidates must demonstrate a Data Analytics certificate in their resumes and interviews.
Data science careers necessitate the study of mathematics because machine learning algorithms, data analysis, and the discovery of insights all require math. Math will not be the primary prerequisite for your data science education and career, but it is typically one of the most important. Even if maths is your weakness, Henry Harvin will help you work on your weakness by offering special classes.
After completing your Big Data Analytics training, you can earn as Big Data Analytics an annual salary range between 3.5 Lakhs and 14.6 Lakhs, with an average annual salary of 6.6 Lakhs. The estimated salary is based on 2,900 of the most recent salaries submitted by Big Data Developers.
Several data professionals have characterized data analytics as a demanding profession. Therefore, if you are considering a career in Big Data Analytics, it is time to reconsider and make an informed choice. Henry Harvin is the best place for a Data Analytics training certification course.
Python offers a multitude of libraries for working with Big Data. Python can also be used to develop code for Big Data significantly quicker than any other programming language. These two factors enable programmers all over the globe to adopt Python as the language of choice for Big Data initiatives.
Professionals in Big Data are expected to have a solid understanding of Computer Science and Mathematics. Learn programming languages such as Python, R, SQL, Java, or Scala to address business problems, as these languages use functional programming models to process large data effectively.
Big data analytics is the application of processes and technologies, such as artificial intelligence and machine learning, to integrate and analyze enormous datasets to identify patterns and generate actionable insights. It allows you to make quicker, better decisions based on data, which can increase your efficiency, revenue, and profits.
List of the top Big Data Analytics tools
Big data analytics mines existing data to identify emerging patterns that can inform our decision-making processes. On the other hand, machine learning can learn from actual data and provide the foundation necessary for a machine to teach itself.
Here is a sample of the most sought-after job titles in Big Data Analytics:
Those who wish to become experts in big data analytics should pursue the following path.
Here are the best companies recruiting professionals in Big Data analytics:
Data analytics enables industries such as banking, energy management, healthcare, travel, and transportation to develop innovations using historical and data-based information.
The immense data pool is processed, and valuable insights are extracted using Big Data tools. These tools for big data make it simpler and quicker to organize, store, and input data for any organizational purpose.
Big data incorporates numerous analytical tools, making it a popular instrument. Hadoop is utilized to process massive data collections across multiple clusters. Hive reads, writes, and manages vast data sets in distributed storage using SQL.
Again, Apache Kafka is a tool used for high-performance data pipelines and streaming analytics.
In contrast, Spark is a unified engine for processing large data sets and providing an interface for program clusters.
After completing all the modules and passing the assessment, you will receive a certificate of completion for the Big Data Analytics course. Henry Harvin will evaluate all assessments to check your subject knowledge and award skill badges.
Enrolling in Mastering Big Data Analytics at Henry Harvin is straightforward. After registering with your email address and entering your user information, you must pay the course fees and start training.
If you cannot attend any live Big Data Analytics certification course lectures, you will receive a session recording within 12 hours. Additionally, if you have any other questions, you may contact Henry Harvin’s course advisors or post them on our community forum.
Learning Advantages:
Henry Harvin’s Big Data Analytics Course Curriculum:
Skills Covered in Henry Harvin’s Big Data Analytics certification course are:
Henry Harvin offers two types of modes for Data Analytics training certification courses:
Live Virtual Classroom: In the online instructor-led session, you can attend the Data Analytics training certification course remotely from your home via video conferencing.
Online Self-Learning: In this format, you will receive a video recording and can complete the course at your own pace.
The course duration of the Data Analytics training certification course is 32 Hours of Two-way Live Online Interactive Sessions. Moreover, you will get brush-up sessions and a masterclass for this course.
Data Analytics training certification Course fees for Live Virtual Classroom is 29500 and for self-paced is 26550.
No. Students must attend Henry Harvin’s Data Analytics lectures according to the defined program schedule and maintain an 80% attendance rate for all live deliverables.
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