Everything from your name, class, date of birth, and even your best friend’s name are pieces of information or data for technology. But this data is simple, and structured i.e. factual, and to the point. But there are certain huge and complex pieces of data available which are called Big Data. Big Data can be structured, semi-structured, or unstructured i.e. qualitative data without a predefined structure. It cannot be handled by traditional data tools and methods. This data takes up a lot of storage space and is complex to understand. Big data courses provide valuable skills and techniques for analysing data, enabling individuals to find solutions to earlier unsolved problems.
The International Data Corporation(IDC), has predicted that by 2025 there will be 163 zettabytes (1.63e+14 gigabytes) of data available on the Internet. This chaos created by the overwhelming amount of data can be used to find solutions and areas of improvement if it is analysed properly.
For example, if you own an e-commerce platform, analysing complex data can help you. You can track what customers like, what they buy, and how they behave on the website. Through this, you can recommend products that customers will love, create awesome marketing campaigns, and make everyone happy while boosting sales!
The analysis of big data can find trends and thus can help combat crime, prevent the spreading of diseases, and discover changes in business practices. It can be harnessed for detecting financial fraud to provide better medical facilities without any added cost.
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As the Internet of Things (IoT) continues to grow, our daily objects are becoming smarter and more connected. From coffee machines that prepare your brew automatically to alarm clocks playing your favourite song, everything relies on data. This dependency on machines embedded with software and technology points to a promising future for data-related industries. As we generate and store more data, there will be a growing demand for analysts who can study and comprehend the vast amount of data. If you are curious about exploring new technologies, methodologies, and tools and have attention to detail this might be the right option for me. We at Careers360 have made the list of a few online courses that are partnered with premier institutes as well as a few independent offerings curated for those who want to be part of the big data industry.
About- Simplilearn offers a comprehensive Big Data Hadoop course. It is designed to guide the learners with the knowledge of the Hadoop framework and other essential tools for effectively managing vast amounts of data. Hadoop is open-source software that is specifically developed to handle data efficiently and securely. During the certification importance, Hadoop components in the data processing cycle are discussed. The training process includes exploring Spark applications, parallel processing, and functional programming in Big Data and Hadoop. Simplilearn gives two types of training options to the students i.e. self-paced and Online Bootcamp.
Eligibility- Bachelor's or equivalent level of examination. Students who have completed a high school diploma can also enrol.
Duration- 90 days of flexible online lectures for online boot camp learners.
Fees- Rs 21,420 for self-paced learning and Rs 23,625 for online boot camp.
Overview- The two different modules of the certification programme make it unique. The self-paced module has hands-on projects, learning assistance, self-assessment and an online boot camp module that has all benefits of self-paced learning in addition to live training by industry experts. Live projects involving customer segmentation, sentiment analysis, and prediction of patterns using tools such as Hadoop and Hive.
Perks- SimpliLearn offers a Big Data Hadoop course with a seven-day money-back guarantee. It provides lifetime access to self-paced modules and covers training on Yarn, MapReduce, Pig, Hive, HBase, and Apache Spark.
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About-AnalytixLabs is one the renowned data science institute that provides its learners a certificate in Big Data Engineering after evaluating the compulsory project assigned to the learners.
Eligibility-Successfully completed Bachelor's or equivalent level of examination.
Duration-AnalytixLabs offers 120 hrs of self-study and 54 hrs + 18 hrs eLearning.
Fees-AnalytixLabs charges Rs 25000 + taxes for its self-paced learning and Rs 30000 + taxes for its weekend batches.
Overview- AnalytixLabs provides the option of self-paced blended modules and weekend batch modules to its learners. The self-paced module has industry-demanded pre-recorded content and videos available on the student portal. In the week-end batches, an industry expert mentor guides the learners through concepts of big data via live online lectures.
Extensive doubt-solving sessions are available to students under both modules through emails and calls. The course evaluates its learners through assignments that include exercises on the Hadoop ecosystem, cloud computing, and foundational modules. It also includes projects involving creating databases, sales prediction, analyzing data, and predicting customer churn using technologies like MongoDB, Spark, and SQL.
Perks-Analytix Lab's course offers personalised help in profile and CV building. It prepares the learner for one-on-one interviews with mock interviews, job referrals from a wide network of organizations and alumni, and continuous support. Students often receive multiple interview calls and promising career options based on their learned skills.
About-IIIT B (International Institute of Information Technology, Bangalore) has collaborated with UpGrad to offer an Advanced Certificate Programme in Big Data. This programme aims at providing a comprehensive and industry-relevant programme that equips learners with the skills and knowledge needed to excel in the field of big data.
Eligibility-Successfully completed Bachelor's or equivalent level of examination.
Duration-7.5 months
Fees-Rs 99, 000
Overview-The programme has a well-curated syllabus as per the latest big data industry standards. The student gets a multi-level and multi-dimensional learning experience via peers and teachers on discussion forums for doubt-solving.
Perks-UpGrad also assists its learners with career assistance with job mentorship and a personalised portal for job opportunities. The learners can enjoy self-paced learning via live and recorded lectures which will be accessible to them for revision till 3 years of enrollment. The hands-on projects for example creating a big data solution for credit card fraud detection makes this course stand out.
About-IIT(Indian Institute of Technology), Guwahati has partnered with Intellipaat to provide a comprehensive knowledge of big data analytics to its learners. Students who have successfully completed the programme will get an Advanced Certificate in Big Data Analytics by E&ICT, IIT Guwahati.
Eligibility-Successfully completed Bachelor’s or equivalent level of examination.
Duration-9 months
Fees-Rs 1,70,031+GST
Overview-For this certificate programme IIT Guwahati offers a self-paced course that combines flexibility with academic rigour. Learners receive extensive training on key Big Data Analytics concepts like Hadoop, Spark, Python, MongoDB, Data Warehousing, and more, ensuring a comprehensive learning experience.
Perks-Intellipaat's Big Data Analytics course offers career-oriented sessions, profile-building assistance, dedicated job portal access, one on one mentoring, job fairs, assured interviews, and hackathons for hands-on learning. The learners are assigned capstone projects across industries including retail, social media, supply chain, entrepreneurship, and e-commerce giving them a real-life experience of the big data industry. The course promises to provide a 55 per cent average hike on the present salary.
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Big data can sometimes be tricky because it's huge and we might not know all the little details about it. We also make assumptions without knowing what's going on in the data. To make better predictions, we need to understand how things work and use computer simulations. We also need to be careful with people's personal information to keep it safe and secure. With these challenges met we can give a better future to careers in big data.