ACTE is the Google certified and Award-winning institute for rendering the best Online training, Classroom and E-Learning training. We stand first at paving the way for innovations and providing the complete spectrum of Big Data Training.
Big Data Analytics Course curriculum is designed and updated as per latest Big Data and Data Science industry standards and the content of the course is stimulated with the improvements in the subject.
Big Data Analytics attain cost-effective solutions and improve decision-making power in multiple development areas, including healthcare, manufacturing, education, media, retail, and even real estate. You will have an opportunity to select from a variety of industries that match your skills and interests. With the data industry growing exponentially, I would say big data analytics is an excellent career option. ... This growth within the industry also means there will be a surge in the number of big data start-ups while many companies will start implementing it into their operations.
There is a huge scope of beginning a career in Big Data. Today Big data Hadoop is leading everywhere. Big data Hadoop career opportunities are on the rise and there are fewer skilled candidates available for big data Hadoop. Therefore, Companies are hunting for skilled candidates. The scope of professional opportunities anticipated to grow in years to come. Takeaway: Prescriptive Analytics, Predictive Analytics, and Descriptive Statistics are the major three types of Data Analytics job opportunities, and focusing on a niche can help you master and get competitive advantage in specific areas.
There is a steady increase in job openings, but the supply of talent is less. This deficit of big data talent is globally leaving big data analytics as a 'Hot' job. Along with the engineers, there is a huge requirement for managers and business analysts who can understand the analysis output and make decisions.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Big Data Analytics. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Data analysis works better when it focused, having questions in mind that need answers based on existing data. Data science produces broader insights that concentrate on which questions should asked, while big data analytics emphasizes discovering answers to questions asked. Big data relates more with technology (Hadoop, Java, Hive, etc.), distributed computing, and analytics tools and software. This is opposed to data science, which focuses on strategies for business decisions, data dissemination using mathematics, statistics and data structures and methods mentioned earlier.
Big data is a term for humongous amounts of data. You should not confuse it with big data analytics. Big data analytics deals with gaining insights from past events and essentially about the future events with the help of predictive models. Basics of probabilities and statistics. A good hand knowledge of a programming language like Python. Know basics of an operating system. Patience and eagerness to learn. While traditional data analyst might be able to get away without being a full-fledged programmer, a big data analyst needs to be very comfortable with coding.
Analysts and researchers have been around long before big data, which is why data analyst roles are well defined. Data analysts do not need to have advanced coding skills, but have experience with analytics software, data visualization software, and data management programs. So does that mean that a non-programmer cannot become a big data analyst or a data scientist? The answer is a big “No.” Today, various open source tools are available that do not require knowledge of programming and that can be easily used by big data analysts to analyse and explore data.
Our courseware is designed to give a hands-on approach to the students in Big Data Analytics. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
Yes, you can definitely learn Data Science in 2020. Data Science includes the development of methods to record, store and analyse data to extract useful information effectively. The goal of data science is to obtain information and knowledge of any type of data, structured and disorganized. It is worth learning big data. According to Big Data Analytics survey, there is massive opening of big data and it is just beginning as we can see people is creating huge chunk of data daily. Therefore, the job opportunities would rise in future.
No Learning Hadoop is not very difficult. Hadoop is a framework of java. Java is not a compulsory prerequisite for learning hadoop. ... Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.
Reasons to Select a Career in Big Data
Exponential Rise of Data. Big data is transforming the future with innovation, business intelligence, and lower cost of ownership.
Higher Demand for Data Analysts Professionals.
Huge Skill Gap.
Unstructured/Semi-structured Data Analytics.
Better Profile.
Benefits to Using Big Data for Small Businesses
Why Small Businesses Should be Using Big Data
Big businesses aren’t the only ones who can make data-driven decisions using big data these days. Small businesses can reap the benefits, too. Analyzing all the online and offline information that you can helps to grow your business.Big data is defined as very large datasets that can be analyzed computationally to reveal patterns, trends, and associations – especially in connection with human behavior and interactions. A big data revolution has arrived with the growth of the Internet, wireless networks, smartphones, social media and other technology.Organizations who discuss using big data usually have the resources to hire research forms and data scientists to do the work for them. But, if you know where to look, small businesses can finally step up to the plate and utilize big data, themselves.
Benefits of Using Big Data
1. Using big data cuts your costs
A recent Tech Cocktail article looks at how Twiddy & Company Realtors cut their costs by 15%. The company compared maintenance charges for contractors against the average of its other vendors. Through this process, the company identified and eliminated invoice-processing errors and automated service schedules.
2. Using big data increases your efficiency
Using digital technology tools boosts your business’s efficiency. From using tools such as Google Maps, Google Earth, and social media, you can do many tasks right at your desk without having travel expenses. These tools save a great amount of time, too.
3. Using big data improves your pricing
Use a business intelligence tool to evaluate your finances, which can give you a clearer picture of where your business stands.
4. You can compete with big businesses
Using the same tools that big businesses do allows you to be on the same playing field. Your business becomes more sophisticated by taking advantage of tools that are available for your use.
5. Allows you to focus on local preferences
Small businesses should focus on the local environment they cater to. Big Data allows you to zoom in on your local client’s likes/dislikes and preferences even more. When your business gets to know your customer’s preferences combined with a personal touch, you’ll have an advantage over your competition.
6. Using big data helps you increase sales and loyalty
The digital footprints that we leave behind reveal a great deal of insight into our shopping preferences, beliefs, etc. This data allows businesses to tailor their products and services to exactly what the customer wants. A digital footprint is left behind when your customers are browsing online and posting to social media channels.
7. Using big data ensures you hire the right employees
Recruiting companies can scan candidate’s resumes and LinkedIn profiles for keywords that would match the job description. The hiring process is no longer based on what the candidate looks like on paper and how they are perceived in person.
How Businesses Can Analyze Big Data
- Your big data solutions need to be user-friendly, match what you had in mind for pricing, and flexible enough to serve your business both now and in the future.
- Research what the most reliable tool is for the problem you need to solve. For example, if you want to launch more effective promotions and marketing campaigns, you can use Canopy Labs, which predicts customer behavior and sales trends.
- There are many tools out there that are inexpensive or even free that you can use.
- Google has user-friendly tools like Google Adwords and Google BigQuery. Administering a survey is simple and cheap using tools, such as SurveyMonkey and Doodle.
Why is big data analytics important?
- 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. In his report Big Data in Big Companies, IIA Director of Research Tom Davenport interviewed more than 50 businesses to understand how they used big data. He found they got value in the following ways:
- Cost reduction. Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.
- Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.
- New products and services. With the ability to gauge customer needs and satisfaction through analytics comes the power to give customers what they want. Davenport points out that with big data analytics, more companies are creating new products to meet customers’ needs.
