360digitmgtrainings
Anvi Staff answered 11 months ago
Big data analytics training is a comprehensive educational program designed to equip individuals with the skills and knowledge necessary to navigate and analyze vast datasets. This training encompasses a range of topics, including data processing frameworks, statistical analysis, machine learning, and data visualization techniques. Participants learn how to leverage various tools and technologies like Hadoop, Apache Spark, and data visualization platforms to extract meaningful insights from massive and complex datasets. The goal is to empower professionals with the expertise needed to uncover patterns, trends, and valuable information within large volumes of data, aiding strategic decision-making in diverse industries.
is Big data analytics a good career option in India?
Yes, Big Data Analytics is considered a promising career option in India. With the growing digitization of businesses and the increasing volume of data generated, there is a rising demand for skilled professionals who can analyze and derive valuable insights from large datasets.
Industries such as e-commerce, finance, healthcare, and IT are actively leveraging big data analytics to make data-driven decisions, creating ample opportunities for professionals in roles like data analysts, data scientists, and business analysts.
Continuous advancements in technology and the increasing importance of data-driven strategies make a career in Big Data Analytics lucrative and in high demand in the Indian job market.
Here are a few institutions known for data analytics training:
Indian Institute of Management Bangalore (IIMB):
Program: Business Analytics and Intelligence
Website: IIMB Business Analytics and Intelligence
Praxis Business School:
Program: Post Graduate Program in Data Science
Website: Praxis Business School
Great Lakes Institute of Management:
Program: Post Graduate Program in Business Analytics
Website: Great Lakes Business Analytics
Indian Statistical Institute (ISI), Kolkata:
Program: Advanced Certification in Big Data Analytics
Website: ISI Kolkata
Jigsaw Academy:
Program: Big Data Analytics Course
Website: Jigsaw Academy
Symbiosis Centre for Information Technology (SCIT):
Program: MBA in Data Sciences and Data Analytics
Website: SCIT
AnalytixLabs:
Program: Data Science and Big Data Analytics Courses
Website: AnalytixLabs
Edureka:
Program: Big Data and Data Science Courses
Website: Edureka
Sameer Staff answered 5 years ago
Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered.
Where does it come from?
- The bulk of big data generated comes from three primary sources: social data, machine data and transactional data.
- Social data comes from the Likes, Tweets & Retweets, Comments, Video Uploads, and general media that are uploaded and shared via the world’s favorite social media platforms.
Big data analytics is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Big Data Analytics training defines Data types involved in Big Data analytics are many: structured, unstructured, geographic, real-time media, natural language, time series, event, network and linked. It is necessary here to distinguish between human-generated data and device-generated data since human data is often less trustworthy, noisy and unclean.
Big Data can be defined by one or more of three characteristics, the three Vs: high volume, high variety, and high velocity.
Examples of Big Data generation includes stock exchanges, social media sites, jet engines, etc.
Data mining of Big Data is achieved by using AI programming that works with algorithms to find patterns in the Big Data that are noteworthy. This provides insights that help management make better-informed decisions.
As data sets continue to grow, and applications produce more real-time, streaming data, businesses are turning to the cloud to store, manage, and analyze their big data. Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.
Big data training helps one understand how to analyze data. There are a number of big data tools available in the market such as Hadoop which helps in storing and processing large data, Spark helps in-memory calculation, Storm helps in faster processing of unbounded data, Apache Cassandra provides high availability and scalability of a database, MongoDB provides cross-platform abilities.
According to Wikibon, the big data analytics market (BDA) is expected to reach $49 billion with a compounded annual growth rate (CAGR) of 11%. So, each year, the market will gain $7 billion in value. As a result of this forecast, the BDA market should reach $103 billion by 2023.
Data skills are so in-demand, they’re becoming increasingly useful in a number of fields—not just technology and finance. Marketing, human resources, sales, and customer service are just a few areas where your expertise can make a big difference to your job performance.
Given below is the list of Institutions offering the best training on Big Data Analytics:
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- Class Central – Best Data Visualizations Courses.
- Coursera – Visualization Courses.
- Udemy – Data Visualization.
- Data Camp – Data Visualization with ggplot2.
- Udacity – Data Visualizations and d3js.
Big Data is one of the most rewarding careers with a number of opportunities in the field. Organizations today are looking for data analysts, data engineers, and professionals with Big Data expertise in a big number. The need for analytics professionals and big data architects is also increasing.
unichrone pvt ltd Staff answered 3 years ago
Big data analytics training refers to educational programs or courses designed to teach individuals the skills and techniques required to analyze large volumes of complex and unstructured data sets, commonly known as big data. These training programs typically cover various aspects of big data analytics, including data collection, storage, processing, analysis, and interpretation.
Big data analytics training programs often include instruction on specialized tools and technologies used in the field, such as Hadoop, Spark, Python, R, and SQL. Participants learn how to apply statistical and machine learning techniques to extract valuable insights and patterns from big data sets, which can then be used to make data-driven decisions and solve complex business problems.
The curriculum of big data analytics training may vary depending on the level of expertise targeted, ranging from introductory courses for beginners to advanced programs for experienced data professionals. Additionally, some training programs focus on specific industry domains, such as healthcare, finance, marketing, or cybersecurity, to provide relevant context and applications for big data analytics skills.
Overall, big data analytics training aims to equip individuals with the knowledge and proficiency needed to harness the power of big data effectively and derive actionable insights that drive business success and innovation.
We deliver Big Data Hadoop Administration Training and Certification in both Classroom and Live Online Classroom modes.