Big Data Analytics Courses

Big Data Analytics Courses are in high demand, thanks to the fact that companies rely on data analysis for future planning and business strategies for the long term. Professionals with proper training in big data analytics are more likely to get a handsome salary, since the demand for analytics experts is on an all-time high in recent times. The science of big data analytics looks into large amounts of data helping you to uncover the hidden patterns, correlations, and many other insights. With the advancement of today’s technology, it is possible to analyze large amounts of data and get quick answers backed by analytics. Through in-depth knowledge and training of big data analytics, give your organization correct business directions by extracting valuable information on important market elements.

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Overview of Big Data Analytics Courses Online

Big Data Analytics looks into large amounts of data helping you to uncover the hidden patterns, correlations, and many other insights. With the advancement of today’s technology, it is possible to analyze large amounts of data and get quick answers backed by analytics.

Big Data Analytics is a term used when the company data’s size or type is beyond the capability of the traditional databases to manage, capture, resize and process the data. The Analysis of Big Data helps businesses get valuable information on the important elements of the market or gives out business directions, also identifies which one will make extra profit for you. It is fundamentally used to make strategic plans like expansion and financial planning and Analysis. Therefore, this is an indispensable source of data for big industries.

 

Also Read: Executive Certificate Program In Machine Learning For Managers

 

What is Big Data?

Big Data is a collection of large amounts of data that not only grows exponentially every day but is complicated for a traditional data manager to manage, analyze, and process.

The New York Stock Exchange (NYSE) is an example of Big Data. About One Terabyte of data is generated every day at the NYSE.

 

Types of Big Data Analytics

There are three types of Big Data Analytics:

  1. Structured
  2. Unstructured
  3. Semi-structured
     

1. Structured

Structure Big Data refers to the data that can be easily accessed, stored and organized in a specific format. Over the decades, computer science has taken a turn and has achieved great success in introducing such techniques that help in working with such data and also, derives value from the data.

 

 2. Unstructured

Unstructured data is that which does not have any specific format or structure. Often, if the size of the data is huge, unstructured data becomes difficult to process and derive value out of it. Today, organizations have a lot of raw data available but they are not able to derive complete value from it because it is in an unstructured format.

 

3. Semi-structured

Semi-structured data can contain both types of data, structured as well as unstructured. Semi-structured data is mostly seen in a structured form.

 

What is the Big Data Analytics Course by Talentedge?

Talentedge’s big data analytics course is designed to make candidates aware of the significance of data and statistics in the modern business world. Along with covering a wider aspect of data optimization, the course talks about modeling uncertainty, risk factors, data visualization, etc. Understanding these subjects are very crucial for participants to establish themselves as successful big data analysts.

 

Also Read: Kickstart your Career in Analytics with Data Science Program

 

The syllabus of Talentedge’s big data analytics course also includes various statistical methods to test scientific hypotheses. The certification of completion you will get after completing the program will be a great asset to your career, adding immense value to your CV.

 

Characteristics of Big Data Analytics:

The five Vs that you will get acquainted with while pursuing a Big Data Analytics Course
 

1. Volume

As the name suggests, Big Data represents data of a large size. This implies that the volume ought to be large too.

 

2. Variety

Variety to the sources of the data and the nature of it i.e. if the data is structured or unstructured. Programs or the directory were the only nature of data considered earlier but now, PDFs, audios, videos, emails, photos, etc. are also considered as a source for data and in the analysis application. This type of data sometimes creates issues in storing, interpreting, analyzing, and managing the data.

 

3. Velocity

Velocity refers to the speed at which the data is processed by the server to meet the demands of the customer. Any large business or organization is very keen to know at what speed the company data can be managed, interpreted, and used to make business decisions about the betterment of the business. The data is very useful for the company because they are able to track down the behavior of the customer fast and easy.

 

4. Variability

This refers to the variations that the data handler faces while managing and analyzing the big data. This is the inconsistency that is there in data making it difficult to work on.

 

What is Big Data Analytics?

Analytics is defined as a way to find meaningful and useful patterns from the given set of data, it is a scientific method used to make reports of the business. It is a process of converting raw data and deriving something meaningful out of it to get a better look at the business. It helps in making better business decisions for the future. The process of Data Analytics is based on computer programming, statistics, research to quantify, and then, they are able to make a report and look at a better future for their future.


Also Read: How is Big Data Analytics Different from Data Science?
 

Data Analytics is very important for large corporations and businesses. Analytics helps us spot the mistakes or patterns that are hidden in the big data. Analytics has successfully changed the world of sports, science, health, education and many more fields. Let’s discuss some of the subjects that are intrinsic parts of the big data analytics course curriculum blow by blow.

 

Fundamentals of Analytics

With the help of Data Analytics, we can now find out hidden patterns like consumer behavior, team performance, and other activities like the weather, climate, diseases, and many other things.

Mostly, Businesses use Analytics to focus on the following areas-

  • Risk Analysis
  • Fraud Analytics
  • Web Analytics
  • Market Modeling
  • Advertisement and Marketing
  • Optimizing the Marketing performance
     

Role of Big Data Analytics in 4.0 era

The present 4.0 era is a fusion of the real world and the virtual world. The digital revolution that we are looking at is a result of Technologies like Big Data and Artificial Intelligence to help nurture automatic learning systems. Companies and Businesses seem to seek help to achieve business intelligence by compiling, managing, analyzing, and then sharing data across all domains to produce excellent business decisions. For this reason, Talentedge’s big data analytics course aims to upskill candidates in the applications of this technology.
 

Also Read: 6 Reasons for You to opt for Big Data Analytics Certification
 

The internal connection between the systems and computers as well as the potential to analyze large quantum of data is made possible with the help of the intelligent machines that we have today. We have machines that can make correct and informed decisions without any human intervention. The values that we are able to extract by using Big Data is, indeed, a new level of Technology.

The amount of information that is produced by the manufacturing systems should be translated into some kind of actionable idea. This is why Big Data analyses the given data and gives the appropriate insights for the future too.

 

Benefits of Big Data Analytics:
 

  • Improvement in Warehouse Processes

Through the help of sensors and portable devices, companies are now able to improve their operating efficiency by reading into the errors, performance quality controls, and assembly routes.
 

  • Elimination of processes that hold up

Big Data firstly identifies issues that can be caused during the process and can affect the performance and guides the manufacturers to look into it without any cost.
 

  • Predictive Demand

Through Big Data, we are able to make more accurate predictions about customer preferences and trends that are followed currently around the world. This helps the company to work on its product portfolio.
 

  • Maintenance

The sensors installed in the machinery identify the issues that it might face before the machine goes down and send an alert to the equipment for it to react in time.

There are other great things that you can do with the help of Big Data Analytics. These include improving security, loading optimization, supply chain management, prediction of the weather, climate, traffic, etc.

 

Where can you apply the learnings of the Big Data Analytics Course?

With constant advancements in technology, we are looking forward to a world where nothing is impossible. As mentioned earlier, Big Data Analytics has helped large organizations and businesses make favorable decisions about their company.
 

Also Read: Machine Learning Vs Big Data Analytics: Which Is A Better

 

List of some of the applications of Big Data in large organizations:

 

1. Tracking your customers’ spending habits and shopping behavior

In major retail stores like Amazon, Walmart, Big Bazaar, etc. the data management team tracks the spending patterns of the customers. They find out how customers spend their money, which product they prefer, what they look for in the store, and more. They keep track of all the information to ensure that those products are available for the customer at all times at their stores.

The Banking sector keeps track of debit cards, credit cards with discounts, and cashback that the customer is using at certain places to buy things. By using this way, they can give the customer the right type of offers at the right time.
 

2. Recommendation

By tracking the customers' shopping behavior and spending habits, big retail stores will be able to identify products that the customer searches for. Post which, the store can send a recommendation of that particular product and the various brands to the customer.
 

Also Read: Things to Consider Before Taking Data Analytics Course

 

For example, you are looking for a skin moisturizer, say Neutrogena. Amazon’s data will show that you are interested in buying a product of the same brand and whenever you go to browse your Google page, you will see different recommendations of the product available under the same brand.
 

3. Smart Traffic System

Data about the state of different roads is collected with the help of cameras installed at every corner of the city. All the data is analyzed and roads that have less traffic or no traffic are recommended to the driver of the car, saving them a lot of time. Smart traffic systems can be built in the city with the help of Big Data Analysis.
 

4. Auto Driving Car

Big Data Analysis can help a person drive a car without any human involvement. Sensors are placed in various spots of the car camera that gather data about the surroundings of the area like the size of the cars around you, obstacles if any, distance from other cars, etc. This data is then analyzed and certain calculations are made such as the number of angels that have to be changed, the speed of the car, etc. These calculations and predictions help in taking necessary action immediately.
 

5. Virtual Personal Assistant Tool

Big Data helps the virtual assistant to answer questions that the users have like Siri in Apple, Cortana in Windows, and Google Assistant in Android. This tool keeps a track of the location, the weather, their local time, season, etc of the user helping the virtual assistant answer the questions.
 

Also Read: Big Data Course – Future Proof your Career SPJIMR
 

Try saying: "Is it going to rain today?" The tool will then access your location, collect the data around the location and give you the right answer.
 

6. IoT

IoT is the Internet of Things. Manufacturing companies install IoT sensors in their machines. By installing IoT, they are able to access till when the machine will work without any problem, when it requires maintenance or service and when the machine will need a changing of the parts. This saves a lot of cost to the company by letting them know prior before the machine gets totally down.
 

Big Data Analytics Courses Offered by Talentedge
 

Modern Business Masters Jumpstart Course

The Modern Business Masters Jumpstart Course by Talentedge is a 100% job-assured program aimed at making candidates acquainted with the concepts of 21st-century business management. It is an opportunity to fast-track your career by aligning yourself with the needs of the modern corporate sphere. You will be taught by some of the finest market leaders, helping you build a strong business community. The course promises assured placements in the fields of HR, marketing, operations, logistics, analytics, tech, finance, etc. The 9-month MBM course is aimed at transforming your learning process completely.
 

Executive Certificate Program in Machine Learning

Build your career in the field of Machine Learning by getting acquainted with elements of big data analytics. Learn how to leverage big data potential to bring tech algorithms and product recommendations. Machine learning is ready to use the new gold, Data, to bring a better customer experience. Professionals who can use ML algorithms in the most effective way are in huge demand across industries. Make the most of this Machine Learning course based on big data analytics to take your career to the next level.
 

Data Analytics 360 Course by E-Cornell

Talentedge, in collaboration with E-Cornell, brings you an opportunity to sail through the knowledge ocean of data and analytics. Hone your skills of making complete use of big data to drive your organization’s future strategies. Through the Data Analytics 360 course, you can expand your analytical capabilities. It will follow an approach based on hands-on-experience and video instructions. During the course, you will master how to amalgamate data visualization, prescriptive analytics, and predictive analytics for taking the decision-making process more accurate.

 

Skills Required to Pursue Big Data Analytics Course

Following are the skillsets you will require to attend the big data analytics course offered by Talentedge:

Benefits of using Big Data Analytics in an organization

  • Big Data helps in arranging data that is too large for an organization to manage from multiple sources including the Internet, Social Media platforms, the company's databases, etc.
  • It also helps in actual prediction as well as monitors the data of the business and the market.
  • It identifies problems and crucial points that are hidden in large data influencing the decisions of the organization.
  • It works on the risks and threats that come with a large set of data immediately to optimize and lowers the risks.
  • It identifies the issues in the system and the processes used in the business.
  • Finds out what the customers like the most or which product they are looking for, discounts, cashback, offers, services, etc. Are also predicted by Big data.
  • Provides a speedy delivery of the product giving the customer utter satisfaction and meeting his expectations.
  • Big Data Analytics is very good for your large business or organization because it keeps a track of what goes on in the market, enabling you to build new strategies, products, and services for a better customer experience.

 

Also Read: Role of Analytics in Business Management

 

Analytical Tools That You Will Study in the Big Data Analytics Course
 

  • Python

Python has been one of the most liked languages by developers around the world since it was introduced to the coding world. The reason why Python is loved is it's an easy-to-learn and easy-to-follow language that is also fast. Since Python's development of analytical and statistical libraries like NumPy, SciPy, etc. It is known to be one of the most powerful data analytics tools.
 

  • Apache Spark

Spark is an open-source analytics tool that helps in the processing of data that is not well structured or very large amounts of data. Spark became very popular in the last few years due to its ability to integrate properly with Hadoop making Apache Spark a very famous Analytics tool. Spark also has its own Machine Learning library.
 

  • Apache Storm

Storm is the tool of choice for Big Data which helps in the movement of data or if the data comes in as a continuous stream.

Storm is the best tool for immediate analytics and stream processing.
 

  • Excel

Excel is one of the most widely used data analytics tools in the world. Even if you are an expert in any other data analytics tool like Tableau or R, you will still use Excel for the grunt work. Professionals from a non-analytic background might not have access to SAS or R on their systems. But every professional has Excel.
 

  • Splunk

Splunk is known to be more popular than some other famous Analytics tools like Cloudera and Hortonworks. Splunk started as a "Google for log files" meaning the primary use of the tool was to machine log file data. But through its advancements, it has become much more than that. Splunk also has great visualization and web interface making it easy to use.

 

Also Read: Learn Techniques to Analyse Soaring Data Through Data Analytics Certification Courses
 

Career Options after the Big Data Analytics Course

Big Data is taking over businesses and the growth in large data analysis throughout the world is a sign of things to come. Big Data is an advancement of technology helping people with large data to manage, process and organize. There are a lot of career options that you can go for if you are interested in attending the Big Data Analytics Course.

The following is a list of career options with their salaries and the responsibility of the job-

1. Big Data Engineer

The expected salary of a Big Data Engineer is Rs. 7,00,000 to 10,00,000. A Big Data Engineer is similar to a Data Analyst where they have to convert large amounts of data into insights that an organization or a business can use to make smart business decisions. Then again, an engineer is also tasked with retrieving, interpreting, organizing, and reporting on the data. After completing the Big Data Analytics Course from a prestigious institute, you will be able to create the company’s hardware and software architecture including the systems and processes that are needed to work the data.
 

2. Data Architect

The average salary of a Data Architect is around Rs. 20,00,000 per year. A Data Architect has to design the structural framework of a database as well as building and maintaining these databases. A Data Architect also develops various strategies for some of the organization’s key subject areas and communicates plans, the status of the work, and issues to the company’s executives.

 

Also Read: How Data Analytics will look like Post-Covid?
 

3. Data Warehouse Manager

Various executives with Talentedge’s certification in the big data analytics course, are getting huge salary packages from some of the Indian and global unicorns. Talking about numbers, the expected salary of a Data Warehouse Manager ranges from Rs. 10,00,000 to Rs 12,00,000.

A Data Warehouse Manager is responsible for the storage and analysis of data of a facility. Professional data managers use performance and usage metrics to evaluate data, analyze the load of data and also, monitor job usage. They identify potential risks to data storage and transfer.
 

4. Database Manager

The average salary of a Database Manager in India is around Rs. 15,00,000. A Database Manager will identify the problems or the issues that occur in the databases. He or she also takes steps to correct those issues, helps with the design and the implementation of the storage hardware and maintenance of the system.

These professionals team up with other database developers and can also train and teach a lower-level staff.
 

 5. Business Intelligence Analyst

The average salary of a Business Intelligence Analyst in India ranges from Rs. 6,50,000 to 10,00,000 based on the experience of the person. A Business Intelligence Analyst is expected to turn the company's data into different insights that the company executives and other people could read easily and make informed decisions. A Business Intelligence Analyst should have sufficient experience in analytical and reporting tools. The big data analytics course aims to let you understand database queries, stored procedure writing as well as Online Analytical Processing (OAP) and possess data cube technology skills.
 

6. Data Scientist

The average salary of a Data Scientist in India ranges from Rs. 6,50,000 to Rs 9,00,000 based on one’s level of experience. A Data Scientist has to design and build new procedures for data mining, modeling and production. The person should be experienced in data mining techniques like clustering, regression, etc. He or she must also conduct data studies as well as product experiments and are given tasks such as the development of prototypes, algorithms, predictive models, etc.

 

Also Read: Improve business performance with Business Analytics & Big Data
 

7. Data Modeler

The average salary of a Data Modeler in India ranges from 6,00,000 to 12,00,000 per year based on the level of experience of the person. A Data Modeler turns large data into insights, such as the macro and micro trends which are then put together in a report for business purposes. Hundreds of candidates with a certification in our big data analytics course are skilled in both information science and statistical analysis with knowledge of the Programming languages.
 

8. Data Analyst

The average salary of a Data Analyst in India ranges from 3,25,000 to 9,00,000 based on the level of experience of the person. He or she works with a very large amount of data, turning them into insights that businesses can use to make better decisions and choices. They can work across different industries; from healthcare to technology. A Data Analyst will fit anywhere. He or she will work on making systems and improving on them, making it easier to scale and reduce the data easily in the coming future.

 

Salary Break-up of Big Data Analytics Professionals According to Their Experience

Experience Level

Average Salary

Entry Level (Less than 1 Year)

3.9 Lakh Per Annum

Early Level (1-4 Years)

6.2 Lakh Per Annum

Mid Level (4-8 Years)

8.8 Lakh Per Annum

Experienced (9-12 Years)

9 to 1 Lakh Per Annum

Late Level (13+ Years)

More than 15 Lakh Per Annum


 

Analytics Courses Online Course Fee

Talentedge’s courses are known for their diversity in syllabi, course fees, and tenures. Students apply for the course of their choice according to their professional requirements.

Our course fees range between Rs 50,000 to 2,20,000.

 

Also Read: Applications and Benefits of Business Analytics

 

Eligibility Criteria for the Online Analytics Courses
 

Education

  • For Indian participants, a Graduation degree (10+2+3) or Diploma certificate (only 10+2+3) from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline is mandatory
  • International candidates have to present graduation or equivalent degree from any recognized University or Institution in their respective countries
  • Proficiency in English, spoken & written is a must for attending the online Analytics Courses

 

Work Experience

  • Professionals with some work experience will be given preference

 

Online Analytics Courses Admission Process

For availing the online Analytics Courses, you need to follow the given steps.

  • Open the website of Talentedge: talentedge.com
  • Search for your program on the browse course page.
  • Read all details and criteria for pursuing the course.
  • Click on the ENROLL NOW button on the course page, where you will be asked to fill your personal details.
  • If you face any issue with signing up or the course curriculum, you can talk to our representative by clicking on the GET A CALL button.

 

FAQs for Big Data Analytics Course
 

Q. Why should I hone my Data Analytics skills?

Ans: There is still a huge skill gap of about 58% in the field of Data Analytics. This means that the employee is unable to deliver the employer’s requirements as they lack the expertise to do so. India is likely to see around 4,00,000 new jobs in the field of Data and AI. Hence, employees need to work on their skills to be able to deliver the needs of the business. Businesses and companies find Data Analytics useful to analyze and manage large quantum of data. This way, they are able to get better insights and satisfy their customers. Thus, it is important to stay up-to-date in the world of Data Analytics.
 

Q. Which Institutes are offering Big Data Analytics Courses on Talentedge?

Ans: These three best institutes on Talentedge offer the best Big Data Analytics Courses

Professional Certificate Program In Business Analytics from IIM Kozhikode (Duration - 5 Months)

This course will teach you some of the critical concepts of business analytics and research. You will learn how to apply some of these key factors to real-time scenarios. The course includes case studies and practical exercises that will help you gather a better understanding of the course and you will be able to apply situations to the real world. You will get an opportunity to work on a Capstone project that requires you to apply the learnings from the course. On the successful completion of the big data analytics course, you will receive a certificate from IIM Kozhikode.

Postgraduate Certificate In Business Analytics from XLRI Jamshedpur (Duration - 12 Months)

This course will expose you to different domains such as Marketing, HR, Operations, etc. You gain hands-on experience with different languages and their applications like Python, R, MS Excel and Minitab. During the big data analytics course, you will get a chance to have a week-long session at XLRI Jamshedpur. You would also have an opportunity to experience the campus, interact and learn from the faculty and network with your peers. Upon the successful completion of the course, you will get a certificate and the status of an Alumni.

Executive Development Program In Data Science Using Python, R, and Excel from XLRI Jamshedpur (Duration - 7 Months)

In this course, you will be able to work on actual datasets and generate business insights for the enhancement of the organization. You will be exposed to programming languages such as Python, R and Excel. The program focuses on working and gaining knowledge of the tools used in Data Analytics. You will also be made to decode the language of Data Science and understand the value as a business function.
 

Q. What is the difference between Big Data Analytics and Business Analytics?

Ans: Both Business Analytics and Data Analytics involve the management of data, getting insights from the data, and making a report of the information to work on it and make better business decisions. If you want to succeed in your career after completing the big data analytics course, you need to understand the basic difference between business analytics and data analytics.

The goal of Business Analytics is to simplify the large format of data and make the information of the data readable to you, helping you in making important decisions about your business and making your customers happy. Through this Analytics, you can decide whether you want to launch more of the same product or work on some new product with advancement.

On the other hand, Data Analytics focuses on working on large datasets to derive some meaning and useful information out of the data. It includes drawing out patterns, trends, and conclusions from the data, etc. With the help of Data Analytics, we are able to answer questions like "Is the weather going to affect the travel preference of a customer?" It encompasses many techniques to analyze the data. Data Analytics is also referred to as data science, data mining, data modeling, or big data analytics.
 

Q. On an average, how much do Professionals earn after attending the big data analytics course?

Ans: The average salary of an Analytics Professional is Rs 8.4 lakh per annum. There has been a significant increase in the number of jobs for Analytics Professionals. A Strong Demand for Analytics Professionals, in turn, boosts salaries. In a survey, it was found that about 77% of organizations consider Data Analytics a critical part of growth in their businesses. As a Data Analyst, you will be analysing and managing a huge amount of data which is very beneficial for your company's future and the decisions they want to make.
 

Q. Which Big Data Analytics tool is the most-liked and easiest to use?

Ans: Big Data Analytics consists of tools and techniques in order to Analyse, Interpret and Manage a large amount of data. To do so, Developers, Engineers and Scientists come across different computer languages to learn Data Analytics.

  • Python is considered the most liked language of all time because it is easy to read and easy to understand on your own. Since Python's development of analytical and statistical libraries like NumPy, SciPy, etc, it has been known as one of the most powerful data analytics tools.
  • Excel is one of the most widely used data analytics tools in the world. Even if you are an expert in any other data analytics tool like Tableau or R, you will still use Excel for the grunt work. Professionals who are from a non-analytic background might not have access to Tableau or R on their systems. But every professional has Excel.

While pursuing the big data analytics course, the concepts of these two computer languages will be discussed in detail.
 

Q. What are some of the benefits of using Big Data Analytics in an organization or a business?

Ans: Big Data Analytics has many benefits if used properly and efficiently. Big data analytics helps provide powerful insights that could help businesses to a large extent. Here are some of the other benefits:

  • Big Data Analytics helps in arranging and managing data that comes from all sources in the company's database which include the Internet and Social Media among other sources.
  • Analytics is helpful to monitor and predict the data of the business as well as of the market.
  • It helps identify patterns that are hidden in large datasets.
  • It helps one to work on the risk and threats that the large sets of data possess
  • It is able to spot the preferences and shopping behavior of a customer. This makes it easier for the customer to choose their best product.
  • Big Data Analytics serves as a personal assistant to you and helps you to get answers to the questions that you want to be answered. It keeps a track of your activity like your location, what you search for and what you like the most, and based on all of these factors, it gives you an answer.
     

Q. What technologies are used as part of Big Data Analytics?

Ans: There are many technologies that are behind Big Data. The following technologies are very much part of our big data analytics course:

  • Artificial Intelligence: Artificial Intelligence is a machine designed to intellectualize and make decisions that require the mind of a human being.
  • NoSQL Database: NoSQL Database integrates a broad range of technologies that are used to develop modern applications.
  • R Programming: R programming is an open-source software used for statistical computing, visualization, Unified developing environments, etc.
  • Data Lakes: Data Lakes is a combined warehouse where all the Structured and unstructured data is kept of all sizes and types.
  • Predictive Analysis: It is a part of Big Data Analytics. It predicts future behavior using the given information. Predictive Analysis works using technologies like Machine Learning, Data Mining, etc.
     

Q. How does certification in a Big Data Analytics Course help us?

Ans: There are many opportunities for a person who holds a certification in Data Analytics. Data Analytics is a rapidly growing field. There has been a substantial increase of 106% in the jobs for Data Analytics Professionals from 2014-2017. Attending the Big Data Analytics Course will help you in terms of career growth because there are still jobs that remain vacant due to a shortage of skilled personnel. Indeed, the course opens many doors to success.

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