Overview Big Data Analytics
Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. The data size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. And it has one or more of the following characteristics – high volume, high velocity, or high variety.
To analyze such a large volume of data, big data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization. Using big data tools and advanced analytics techniques enables an organization to process extremely large volumes of data that a business has collected to determine which data is relevant and can be analyzed to gain new insights resulting in significantly better and faster business decisions in the future.
What is Big Data Analytics all about?
Big Data Analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. To analyze such a large volume of data, big data analytics is typically performed using specialized software tools and applications for predictive analytics, data mining, text mining, forecasting and data optimization.
Why should I learn this course
Databyte Academy Instructors
Learn from practitioners, not from trainers.
CEO & Co-Founder of Analytixlabs
Sumeet is a former Business Consultant and worked with prestigious companies like McKinsey & Company, ZS Associates and AbsolutData in the past 7 years. He has worked in more than 10 countries and is an expert in Market Research and Business Analytics. He co-founded AnalytixLabs in 2011, and has taken up the lead role from 2014 onward. He has worked extensively in domains such as Market Research, Brand positioning, Building Go-to-market strategies, Customer Lifecycle Management and Pricing for clients in various sectors like Automotive, Banking, Hi-tech, Pharma and Telecom.
Chief Data Scientist
Chandra has got rich experience in the field of Marketing and Risk Analytics, which he has attained during his meticulous tenure with companies like McKinsey & Company, Genpact and erstwhile Citigroup Services. He has 8+ years of experience and has been working in the domain of Analytics since 2006 after completing his education from IIT-Madras. With his analytical rigour he has effectively helped various Banking & Financial Services, Media and Retail clients with Pre & Post campaign management, Credit risk, Attrition modelling, Cross sell and Up sell programs. He was also recently featured in the top 10 data scientists in India by the Analytics India Magazine.
Ankita has more than 8 years of experience with McKinsey, where she focused on Market Research and Behavioural Analytics working with global clients in domains like Hi-Tech, Telecom, Banking and Retail. Post McKinsey, she joined Fidelity as Snr Specialist, to lead the NPS analytics effort for their various business apart from looking into possible B2C analytics. Ankita is an expert in quantitative marketing research such as conjoint, attitudinal segmentation, pricing and brand equity along with measuring consumer loyalty. She holds an MBA from ISB, Hyderabad.
All Databyte Professional Courses
This course is designed to take care of the needs of non-programmers or fresher, who are serious and interested in building career in Data Analytics. The field of data analysis, as the name implies, analyses data to discover trends. It has tremendous uses not only in the economics and financial sector but fields like law, healthcare, public administration, politics, telecom, social media, manufacturing, banking & financial institutions etc. who rely on quality data analysis to arrive at strategic business decisions. Working professionals can definitely improve their resume and their job prospects by achieving a certificate in data analytics.
Certified Data Analyst
This course is designed for beginners or non-programmers who are interested in building their career in Data Analytics. This course is to help you to become a successful Data Analyst. It will teach you how to make powerful reports, creating dashboards, working with MS Access and SQL databases, along with a strong focus on case studies to ensure hands-on learning. You will have clear understanding of Data Analytics and how to manage & visualize the data. All the modules structured using real time, industry relevant data sets to enhance your analytics capabilities and problem solving abilities.
Certified Big Data Analytics
Big Data is data that is too large and complex for conventional data tools to capture, store and analyze. When put to good use, Big Data allows analysts to spot trends, extract insights and make predications. This course developed by our industry experts will help you develop core competency expected in a Big Data analyst, skilled at effectively mining, manipulating, and analyzing Big Data, using basic and advanced analytical techniques.
Certified Data Scientist
The data scientist role is an offshoot of the statistician role that includes the use of advanced analytics technologies, including machine learning and predictive modeling, to provide insights beyond statistical analysis. The demand for data science skills has grown significantly in recent years as companies look to glean useful information from the voluminous amounts of structured, unstructured and semi-structured data that a large enterprise produces and collects.
Certified Big Data Scientist
Big Data Science course will cover the Advanced Analytical and Machine learning techniques using most popular tools in the analytics industry like Hadoop, Python and Spark. This course focuses on case study approach for learning and is a great blend of analytics and technology, making it apt for aspirants who want to develop advanced data science skills.
Who should learn this course?
Anyone who aspires in Data Analytics.
What will you learn in this course?
- You will learn the skills necessary to be a data professional through our industry relevant training program equipped with hands-on methods
- Our practical approach teaches you how to think like a data professional
- You’ll learn how to prepare your data for analysis and present your data for purpose for analytics and business intelligence
- You’ll learn how to solve problems like a data professional
- During your training, you will be working on similar projects a data professional works on. These projects helps reinforce your learning capabilities and help you explore techniques and master the skills. Hence, demonstrates your skills to your potential employer.
And eventually, you’ll become a data professional
Who needs Data Professional?
Banks & Finance Industry
Oil and Gas
Aerospace & Defense
Fast Moving Consumer Goods (FMCG)
Hotels & Hospitality
Travel and Tourism
What should I do to become a successful Data Professional?
Talk to one of our course counselor or send us an email today to guide you to your suitable career path that best suits your profile. We have the right course for your desired path of learning – whatever be your education background and industry experience