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Tag: big data analytics course

Can you become a Data analyst by online tutorials?

Posted on by Imarticus Learning
Reading Time: 2 minutes

In an age where tutorials and lectures are heavily sought after both online and offline, it is easy to see why online tutorials are on-demand, especially to those who are already occupied with jobs with heavy schedules and those professionals who experience time constraints to attend an actual full-time offline course. Although the teaching methods, means, and experience of that of an online tutorial may be quite different, if you are a good self-starter and self-learner, it is quite an engaging and educative activity you can invest your time in regularly.
Let us understand how to learn Data Analytics through online tutorials will guarantee you in becoming a Data Analyst professional. Some of these points are discussed below –

  1. Avail Online Big Data Analytics course for a minimum fee– Regular online classes, engaging, recorded lectures and practical projects help you gain great insight and enhance your skills regarding your subject matter. There are various online options for you to register and enroll for a course in Data Analysis. It sometimes has payment requests and you will need to pay the required fee for accessing these classes. To maintain a certain quality and standard some of these courses are priced with a standard fee structure.
  2. A wide variety of knowledge base in Data Analysis to choose from – You can choose from various types of Data Analysis courses that have the online classes option. From the IBM Data Science Professional Certificate to Applied Data Science with Python to Business Analytics to learning the Data Scientist’s Toolbox, the choices for you to pick from are vast and varies, giving you the opportunity to truly specialize and focus on your favorite subject matter.
  3. Globally recognized online courses – Not only do you have the benefit of investing only a small amount for your Data Analysis certification course, but you will also have global validation for the said course(s) This added advantage makes your knowledge base, skills, tools and techniques learned under the course internationally relevant. This naturally means a great score of career options and job opportunities will now be open to you.
  4. Free courses – Sometimes there are courses offered absolutely free of cost. Data Analysis has several such courses offered free of cost. The option of the syllabus may be limited but you will gain a little above the general knowledge of the certification course and will be able to become relevant with the skills and knowledge you achieve through this online engagement.

From the above factors it is evident that through practical application, patience and practice, you can forge into a  professional Data Analyst career with online support and tutorials. If you expand your knowledge base, there are further professional certifications and degrees to be awarded too. This is available online as well. However, the fee and eligibility criteria may vary accordingly.
So, go on, search for that perfect online course or online tutorial and equip yourself in becoming the best Data Analyst you know. With basic know-how, a minimum investment of money and time, practice and consistent efforts, turn your Data Analyst dream into reality!

How is Big Data Analytics Used For Stock Market Trading?

Posted on by Imarticus Learning
Reading Time: 2 minutes

How is big data analytics used for stock market trading?

Big Data Analytics is the winning ticket to compete against the giants in the stock market. Data Analytics as a career is highly rewarding monetarily with most industries in the market adopting big data to redefine their strategies. Online stock market trading is certainly one area in the finance domain that uses analytical strategies for competitive advantage. 

Capital market data analysts are important members of a corporate finance team. They rely on a combination of technical skills, analytical skills and transferable skills to compile and communicate data and collaborate with their organizations to implement strategies that build profitability. If you’re interested in a career in financial analysis, there are several subfields to explore, including capital market analysis.

Organizations and corporates are using analytics and data to get insights into the market trends to make decisions that will have a better impact on their business. The organization involved in healthcare, financial services, technology, and marketing are now increasingly using big data for a lot of their key projects.

The financial services industry has adopted big data analytics in a wide manner and it has helped online traders to make great investment decisions that would generate consistent returns. With rapid changes in the stock market, investors have access to a lot of data.

Big data also lets investors use the data with complex mathematical formulas along with algorithmic trading. In the past, decisions were made on the basis of information on market trends and calculated risks. Computers are now used to feed in a large amount of data which plays a significant role in making online trading decisions.

The online trading landscape is making changes and seeing the use of increased use of algorithms and machine learning to compute big data to make decisions and speculation about the stock market.

Big Data influences online trading in 3 primary ways:

  1. Levels the playing field to stabilize online trade

Algorithmic trading is the current trend in the financial world and machine learning helps computers to analyze at a rapid speed. The real-time picture that big data analytics provides gives the potential to improve investment opportunities for individuals and trading firms.

  1. Estimation of outcomes and returns

Access to big data helps to mitigate probable risks in online trading and make precise predictions. Financial analytics helps to tie up principles that affect trends, pricing and price behaviour.

  1. Improves machine learning and delivers accurate predictions

Big data can be used in combination with machine learning and this helps in making a decision based on logic than estimates and guesses.  The data can be reviewed and applications can be developed to update information regularly for making accurate predictions.

In a nutshell, large financial firms to small-time investors can leverage big data to make positive changes to their investment decisions. Information is bought to the fingertips in an accessible format to execute trading decisions.

If you are a trader, you will benefit from a Big Data Analytics course to help you increase your chances of making decisions. It is highly beneficial for those involved in quant trading as it can be used extensively to identify patterns, and trends and predict the outcome of events. Volume, Velocity, and Variety are the pillars of Big Data that aid financial organizations and traders in deriving information for trading decisions.

What are some Data Analytics Internship questions?

Posted on by Imarticus Learning
Reading Time: 3 minutes

 

What do Data Analysts do?

Data analytics (DA) is the science that deals with examining raw data sets to understand the useful information they contain. This process is aided by specialized software systems. Data analysts use technologies to facilitate organizations to take business decisions in a more efficient way. The main goal is to boost the business performance of the company by improving operational efficiency and increasing the profit rates.  The positions of a business analyst, data analyst and a data scientist differ in terms of technicality. In other words, the business analysts are least technical, data analysts being more technical and the data scientists are the most technical.      

Scope and Career Prospects of Data Analytics

The scope of data analytics is progressively huge in India. Every workplace being more technology-based, there is a great demand for professionally trained data analysts, who can efficiently record and analyze data to solve business problems.  

Data analysts can work in companies that offer banking services, fraud detection jobs, telecommunications, etc. Also, they can find employment in any private technology firms and in big reputed tech companies. In India Bengaluru, hosts 27% of analytics jobs, followed by Delhi and Mumbai.

Now that you are aware of the scope of data analytics, you should join data analytics courses that offer certification and alumni.

Data Analytics Course

Why Take Up Data Analytics As a Career?

  1. Bachelor’s degree is not enough, because a specialized degree is important.
  2. The increasing demand for data analysts in today’s world. 
  3. Data analytics can be a worthwhile contribution to your profession.
  4. It is a rewarding career, you can get a higher income. 

So, take up data analytics as a career and get a great opportunity to work with renowned Multi-National Companies.   

Qualifications of Data Analyst Intern

  1. Problem-solving skills
  2. Good communication skills and analytical skills.
  3. Strong business awareness.
  4. Knowledge in SQL.
  5. Programming knowledge and application skills.
  6. Efficient in Excel.
  7. Bachelor’s degree.

7 Data Analyst internship interview questions

What is the responsibility of a data analyst?

The responsibilities of a data analyst are,

  • To resolve business-related issues for clients.
  • To analyze results and interpret data by using statistical techniques.
  • To identify new areas for improvement.
  • Filter and clean data
  • Review computer reports. 

What are the steps involved in an analytics project?

The steps involved in an analytics project are:

  • Problem defining.
  • Data exploring.
  • Data preparation.
  • Validation of data.
  • Implementation.

What is data cleansing?

Data cleaning is the process of identifying and removing errors from data in order to improve the quality of data.

What are the best tools useful for data analysis?

  • Tableau
  • RapidMiner
  • OpenRefine
  • KNIME
  • Google search operators
  • Solver
  • Wolfram Alpha’s

What can be done with suspected data or missing data?

  • A validation report should be prepared, which gives all the information about the suspected data.
  • Examine the suspicious data to determine their acceptability.
  • To work on missing data, use the best analysis strategy like deletion method, single imputation methods, etc.
  • Invalid data should be replaced with a validation code.

Explain N-gram?

An n-gram is a contiguous sequence of n items from a sequence of text or speech. It is a type of probabilistic language for predicting next item.

What is Map Reduce?

It is a framework to process large data sets, splitting them into subsets and processing each subset on a different server and blending results.

How The Travel Industry Uses Big Data and Real-Time Analytics?

Posted on by Imarticus Learning

Reading Time: 3 minutesIn this article, let us see how big data has brought about tremendous changes to the tourism sector, allowing the mushrooming of successful unicorns lie OYO, Trip Advisor, RedBus and many more to flourish. Big data and real-time analytics have helped the tourism industry rediscover itself and reap huge rewards.
Better decisions, improved customer experience, foresight on marketing campaigns, competitors, etc. have allowed strategic funding and decision making to boost tourism revenues. Did you know that OYO with a total corpus of 185 million dollars and a pan India presence in 223 cities used big data and real-time analytics to enable check-ins which total over two million?
So what exactly is real-time analytics in Big-Data about? 
Using data is normal, and we continue to generate it using everyday devices like smartphones. What was once in terabytes is today huge volumes of petabytes! That is big-data, and it comes from a number of sources, as text and video messages, blogs, posts, etc. in social media and internal company data. The essence of big data and real-time analytics is to clean and scour this data using deep learning techniques to enable self-learning of intelligent algorithms and networking with neural networks between databases to give gainful insights into trends, behavior patterns and the probability of occurrences. Such foresight is accurate, evidence-based and useful across a variety of functions like finance, behavior analysis, accounting, budgeting, marketing, customer services, and daily operations at all!

The top 5 Ways in which the travel industry is impacted:

1. Managing revenues:

Being able to sell the right product, through the right media channel, at the right price, at the right moment and to the right customer is the crux of excellent financial management and increasing profits. In the travel industry hotel bookings, vehicle management, local events, flights, holiday seasons, occupancy rates, room prices, prior reservations, availability of rooms, and many such factors affect revenues and its management. Which of us has not heard of Trivago, Expedia and such apps?
2. Building brands:
Reputation management has become necessary with the increasing use of social media, internet, reviews, posts, and blogs being referred to and used in making decisions like flight, destination and hotel bookings. Customer satisfaction and quick resolutions of issues is another critical area for increasing brand loyalty exhibited through reviews and posts. Smart pricing, discounts, seasonal fares and such are most often based on real-time analytics, feedback, surveys, and customer user experiences. Thus building brand loyalty has become a concerted effort at training and using data analytics effectively. Just look at how Google searches, Facebook, etc. always suggest your favorite sites when making a booking or purchase.

3. Promotional and marketing strategy:

Finding the right group of customers to target, deciding on promotional campaigns, the method, timing, and media, budgeting and execution of marketing plans are effectively a result of smart use of databases, trend spotting, foresight, and predictive analysis. Thus marketing messages pop up based on customer interest, time, location, etc. to save big when you make a booking on Yatra, Goibibo, etc.

4. Enhancing the experience of customers:

Customers are hard to please and ensuring their loyalty is based on improving the customer experience. Be it the hotel bookings, flight experience, Forex transactions abroad, or finding the best price big data analytics can help make those apps more effective for both the firm and customer. Modern times has even seen Airtel international travel cards, new-age banking UPI apps, QR scanning on PayTM, cashless transfers on PayPal, and shared Uber or Ola cabs in an effort to deliver improved customer experience based on insights from big data and real-time analytics.

5. Effective use of analytics and market research:

Today, data has evolved to be more precious than any other asset, especially in the tourism and travel sector. Market research using real-time big-data analytical techniques provides the basis of operations and all its allied functions today. Just ask to Make my Trip, Treebo Hotels, Bespoke Hotels or RedDoorz.
Conclusion:
Big data and its analytics can be beneficial to the travel industry through a number of applications that produce outcomes and foresight that are enablers of decisions that are actionable. Such apps have been a boon in online booking, optimizing dynamic prices, predicting demand, targeting markets, enabling strategy for financial budgeting and marketing plans. Improving the customer experience has led to higher sales, and the travel industry today is a booming sector offering a plethora of jobs and opportunities.
Do the Big Data Course at the reputed Imarticus Learning to get a firm grasp of how to be an enabler of the travel industry. The scope for growth and payouts are high. Don’t let the opportunity slip by you.

Karen’s Review of Imarticus Learning’s Post Graduate course in Big Data Analytics

Posted on by Imarticus Learning

Reading Time: 2 minutesKaren Soares, a student of Imarticus’ Post Graduate course in Big Data Analytics shares her journey from an IT graduate to an Analytics professional and a job at Peel Works.
Tell us a little about yourself.
My name is Karen Soares. I was born and brought up in Mumbai, and I graduated in B.Sc. IT, also in Mumbai. I joined Imarticus for the postgraduate program in Data Analytics. I currently work at Peel Works as a Data Analyst owing to the efforts of Imarticus Learning’s placement team.
Tell us about your experience with Imarticus.
My experience with Imarticus was really good; it was much better than I expected. I came across Imarticus by taking an online assessment on their website, and the next day I received a call from a counselor asking me to turn up for a counseling session. Initially, I was apprehensive and did not want to attend the counseling; however, the counselor persuaded me to come, and I am thankful for that. Once I arrived at Imarticus’ Mumbai office, I had an insightful session with the counselor who helped me pick the right course based on my academic and professional goals.
What has changed since you joined Imarticus Learning?
Since I joined Imarticus my life has changed drastically. I feel that I am much more confident in myself and my professional abilities. I have a complete understanding of what I do, what I work for and what I work as and that makes a lot of difference. I realized that what we learn in school and college is a bit sketchy and has barely any practical applications. But what I’ve learned at Imarticus through the practical learning approach has really stuck with me. I have a fantastic job because of Imarticus, and I enjoy going to work every day.
What do you like most about Imarticus?
The thing I like most about Imarticus is the level of comfort and approachability that they provide. Every professor here is always ready to solve your doubts and is prepared to answer all your questions – a hundred times if needed. You can never be afraid to ask seemingly silly questions, and that makes the learning experience much better. Everybody at Imarticus was accommodating throughout the course, any questions and queries were always answered at the earliest, and that’s what makes an excellent institute.
Are you on the right track to achieve your Analytics aspirations? Click Here and speak to a career counselor today!

The Next Big Thing in Data Analytics

Posted on by Imarticus Learning

Reading Time: 3 minutes 

Data analytics is fast evolving, and with the increasing use of streaming data, machine data and big data only adds to the continuous challenges encountered during analyzing log data, enterprise application data, web information, historical data stored in documents and reports etc.

In the present day, data analyst struggle to provide a solution for business and client request. As it is, there is a substantial deficient of talent in the field of business data analysts and data scientist, with businesses continue to struggle with data reconciliation, data blending, data access, development of data analytics tools and data mining techniques.

Data analyst and data scientist are frequently unable to discover data and information required and are often unaware of the latest data analytics tools such as the self-service data prep tools assist in the improvement of productivity. Furthermore, the continuous development of advanced social technologies and with the incorporation of various social features have caused an increased expectation regarding timeliness and information availability. Similarly, users have similar enhanced expectations towards business information irrespective of where the data originates or how is it formatted. There is an increasing demand for instant access for data and the ease of sharing it with essential stakeholders.

 

Data socialization is the metamorphosis of data mining techniques to enhance data accessibility across companies, teams, and individuals. Data socialization is changing how business think about business data and how employees interface with business data.

Data socialization comprise of management of data platform which enables the linkage between self-service visual data preparation, automation, cataloging, data discovery and governance features with essential features common to a various social media platform. Hereby, it provides businesses with the ability to leverage social media metrics such as user ratings, discussions, recommendations, comments etc. to enable usage of data for improved decision making.

What is Data Socialisation?

It is a data analytic tool which enables business analyst, data scientist and various relevant users throughout an organization to search, reuse, and share managed data. It aids in the achievement of agility and enterprise collaboration. Data socialization allows employees to find and utilize data which is accessible to them within a specified data ecosystem and assist in the creation of a social network of raw data sets which are curated and certified. These data ecosystems have various levels of controls, restrictions, and limitations which can be well defined for each individual person in an organization. These data mining techniques aid the strengthening an environment of data access, wherein analyst and users are allowed to learn from one another, enhance productivity and be well-connected as its sources, cleans and prepares of data analytics.

Some Characteristics of Data Socialisation

Some of the critical characteristics of data socialization include:

  • The ability of understanding data with regards to its relevance about how a particular data is deemed to be used by various users within an enterprise.
  • Involvement of collaboration of essential users with the data set to harness knowledge which often remains unshared.
  • It enables enterprise users to search for data which has been cataloged, prepare data models, and index metadata by users, type, application, and various unique parameters.
  • Data Socialisation enables to perform a data quality score, suggest for relevant data sources, automatically recommend actions for preparing actions designed according to user persona.

With various business applications incorporating features of social media functions towards improvement in business collaboration, at this moment making individuals and companies well informed, productive and agile.

Data socialization aids in delivering various benefits to various data analytics tools and removal of obstacles towards accessing and sharing data, at this moment allowing data scientist, business users and business information analyst in improving their productivity and decision-making. It further empowers analyst, data scientist and other business users across various departments to collaborate using the available data. By providing the right person with the correct data required to make informed, educated and timely decisions, the implementation of Data socialization is deemed to be the next big thing in data analytics.

Join Big Data Analytics Course from Imarticus Learning to start your career in data analytics. 

Data Analytics: Expectations vs Reality

Posted on by Imarticus Learning

Reading Time: 3 minutesData Analytics: Expectations vs Reality

As we see the field of data analytics getting to its peak in terms of career choice, hordes of young people and professionals now want to make their careers in this field. However, data analytics like any other field is not everyone’s baby. It can be a suitable career option for people, who love data, play with figures and are comfortable in handling a wide array of analytics tools that play a vital role while treading this career path. In other words, you must be aware of the myths and reality about this domain, or else you end up messing up your career and start cursing your fortune.
Why is Data Analytics a hot choice?
Of late, the number of young professionals working in different domains has developed an affinity towards data analytics. Some of these have shifted from their career in IT and other fields towards it, while there are many who despite not knowing what is analytics are thinking for a change in their job. Thanks to a growing number of data analytics courses online, more and more people are thinking to take a shift to this career. There are primarily two key reasons to get attracted to this field:

  • It is a lucrative industry to join
  • It can give good salaries and perks if you have a passion for numbers

However, most of the people who do not even know the data analyst meaning still want to enter it. Hence it is imperative to be realistic at this juncture when you are thinking of taking a shift to this field.
Data Analytics – Reality & Expectations
Although the career in data analytics can be lucrative, if it is not your cup of tea, there is no point in heading in this direction. First of all, check these realities:
The deeper you go, the tougher it becomes – Career in Data Analytics can be a lucrative option and could be selling like a hot cake but the deeper you dig, the harder it becomes. Learning and mastering the concepts of data analytics is not often an easy job, you are supposed to be committed and have the knack to play with numbers and play with data. You should own and hone analytical, technical and personal skills. The day you stop studying the concepts and ideas of this field, you just end up becoming obsolete very soon.
Meritocracy – This field is for people who are known for their merits and credentials. You may find it easy to join any data analytics courses online, but if you cannot excel in it, you may end up finding a clerical job in any data science company. You have to be the best in your work, and there are reports of people joining by being a blind follower. Instead, you should be realistic in choosing this career. An average understanding and competence in this field will not let you anywhere.
IT can Tough and Frustrating – Being a Data Analysts is like a software engineer who also has to keep on updating and upgrading himself to survive in this tough world. It can be a frustrating experience for many despite putting so many years and money as an investment as what you get would be too little to celebrate. Having said that, if this career is not addressing your Why, then you are bound to feel its toughness and end up leaving it out of frustration. Unless you are very sure about this career and have the knack and passion for playing with data, numbers, and analytics tools it’s naïve to even think of entering into this field. The field of data analytics is very demanding; you have to be a consistent learner with focus and then only harnessing the best opportunities in this field is possible.
Conclusion
With the rise in demand for data analytics in the market, there seems to be a craze among the youngster to enter into this field. However, it is always recommended to check the reality and expectations of this field and then decide to move ahead. After all, it is naïve to enter into this field if you do not even know the data analyst meaning.

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Is Data Analytics in The Demand?

Posted on by Imarticus Learning

Reading Time: 2 minutesIf you are looking to enter the field of data science, then here are a few tools that you must consider learning. They will not only give you the required skills but also will help build your case. If we imagine these tools in the form of a pie chart then the percent occupied by these tools would be as follows;
R Programming- 26%
Python-23%
SAS- 20%
Tableau- 17%
Spark- 14%
For the first time in data science, the open sourced tools have taken away the crown as opposed to the licensed tools. These tools are commonly used by various professionals in data science like analysts and developers. They mainly are a part of the machine learning operations, data visualizations, and big data operations.
Today, data has taken over quite the ubiquitous nature and is being treated as an asset by many top firms in the industry. Many experts believe that these tools are soon going to be the next big thing to change the way data works. Which is why it is important to learn how to work with them and more importantly, find out which tools fit you the best.
Apart from those mentioned above, there is also a great demand for many open sourced tools. These tools are basically those that can be downloaded free of cost. They are Tableau Public, Refine, KNIME, Rapid Miner, Google Fusion Tables, NODEXL, WolframAlpha, Google Operators, FrontlineSolvers, Dataiku and so on. There are also others like SQL, Big Data Hadoop, and Pig which have great demand in the data analytics market.
Many of these tools help you out greatly in the process of data analytics. When it comes to a data analyst, there are a few end goals that have to be achieved. These professionals have to analyze data, extract valuable information from it so as to boost the performance of an organization and so on.
For instance, let’s talk about Tableau Public. This is a very simple tool, extremely easy to use and it democratizes visualization. It forms the base for data visualization in order to communicate similar such insights to the users. With the help of this tool, one can investigate a hypothesis quickly, explore the data as well as confirm whatever your intuitions about the data are.
Open Refine is another tool which was earlier known as Google Refine. It is essentially a data cleaning software, which ensures that the data is good enough to go in for analysis. There are many uses of this tool. These include cleaning of messy data, data transformation, parsing of data from websites, the addition of data to data sets by fetching it from web services.
Thus, there are many tools available in the industry today to choose from if you are interested in the big data analytics courses. In order to learn most of them, you can definitely take up professional training courses like the ones that are offered by Imarticus Learning, which will help you become industry endorsed.

How can you prepare for an interview for an M.Sc in big data analytics?

Posted on by Imarticus Learning

Reading Time: 3 minutesPreparing for an interview is tough, especially when you want to lead the journey of life as a data analyst. Interview for a master’s degree course in Big Data analytics is no different. But interviews for an M.Sc. in Big data analytics are not that bad. With a robust big data analytics course in Mumbai, you can make sure that the interview’s result goes in your favor. First of all, try to understand the importance of big data analytics in recent times.
The top MNCs like Google, Facebook and many more, possess too much data to be managed by one person. Here big data analysts come in the picture. A person who is a data analyst is a person who can use tools like SAS, Python and many other big data tools to come up with complete results for the massive size of data.
The steps to be followed for being prepared in the M.Sc. interview for big data analytics are as follows –

  • Research about the organization: This is an age-old trick which appears to work more so than ever. After applying in an organization for M.Sc. in data, analytics don’t just sit and wait for the call. Research about the institute too. In this era of social media connecting to people is not a difficult task. Try to seek out the alumni of the foundation and ask them about the interview process. Try to learn from their experience.
  • Strengthen your mental maths skills: It is of no surprise that an M.Sc. interview for big data analytics will judge your mental math skills, i.e., the power to analyze in quick. For example simple questions like calculating the company’s yearly revenue based on the given information viz. price of products, number of products sold, etc. The quicker you answer these type of question more significant become the chance of selection.
  • Practice hard skills too: After establishing the power of your basics, the next job is to answer the hard question as well. An interviewer can ask questions from anywhere like Basic SQL, SAS, Python and many more. Be sure to have a bold grasp on most of them. Prepare for these while doing big data analytics course in Mumbai.
  • Rehearse the interview session: Try to imagine the scenario and act the way you want to be in it if you like download practice set the question of M.Sc. interview from the internet and practice them in person or with any of your friends.
  • Prepare some questions for the interviewer: This step is not as vital as the others but is an important one after all the primary motive of an interview is to communicate and check the eligibility. After you have proven your talent in basics as well as in advance data analytics processes, you may want to show off your communication skills also in front of your interviewer as it can increase the chances of your selection.

The importance of big data analytics in the modern world is not one to avoid. People in metropolitan cities like Mumbai are registering themselves in big data analytics course in Mumbai. Next time you think about the importance of big data analytics, think about how you get friend suggestions on Facebook, Suggested search results on Google, suggestions from SIRI or Google Assistant about the daily routine to follow and many others. Big data analytics are ensuring a better and bigger future to the communication sector as well as humanity. So try to grab hold of this big data analytics courses over platforms like Imarticus Learning to contribute your share to a better future.

How Can You Make a Good Career in the Data Analytics Industry? What are the Skills You Need to Develop If You Have to Start From Scratch?

Posted on by Imarticus Learning

Reading Time: 3 minutesCareers don’t just happen. Especially those in Big Data and Analytics! Let us look at the needed skills and what you need to do to make a happening career in this field. Here are the basic steps in the path to success.
Do the math:
Your game plan and strategy counts! Firstly, research your thoughts, options and why you want a career in this field, what will the payouts be, what is the scope for the job roles you aspire for, which are the top companies, how you plan to put your plan into action and have a great SWOT analysis. Some relevant information here may help.
Some high-ranking companies in Business Analytics to watch for are Cognizant, TCS, IBM, Wipro, Infosys, Accenture, HP, Deloitte, Capgemini, Genpact among others and in no particular order. Some startups like Mu Sigma Analytics, Fractal Analytics, AbsolutData can offer you the best opportunities in the field of business analytics.
Top roles are

  • Data Analyst
  • Business Analyst
  • Product Manager
  • Digital Marketer
  • Quantitative Analyst

BAs bring analytic and business skills to the table and receive good remuneration. The average annual salary is 859,025 INR/ year for a Senior Business Analyst as per the figures of Payscale. The annual average payouts of a BA is INR 6,44857/year as per Glassdoor.
Plan your career strategy:
BA job roles call for a fusion of project management and analytics. A foundation in engineering and mathematics with excellent communication and analytical skills is essential. However, those who already have some background in business opt to enable a career as a BA by upgrading skills with online short courses and a career in data analytics courses. 
These aspirants are empowered with a good skill set in business analytics that helps them start a career with some certification. Graduates in engineering tend to move towards the information management and data engineering fields, while aspirants with some business experience easily transform into roles as a Business Analyst. An MBA graduate should enhance skills by doing a business analytics course.
Plan acquiring your skill set:
Here’s a list of technical skills required. A Business Analyst must have proficiency in the application of statistics with conceptual knowledge of suites like   SQL, R, SAS, testing framework, SPSS, Hive and tools in BI such as Tableau, Excel, Spotfire, Qlik, among others. Skill sets required change depending on the infrastructure and organization’s requirements and functional roles needed.
Do a course to acquire them:
The business analytics course in Mumbai offers a good grasp of fundamentals, concepts, theoretical knowledge, practical skills and certifications that could help enhance your resume and career. They also offer boot camps, short term workshops, and basic knowledge of SAS and R. While certification definitely helps you need to be an excellent communicator and work diligently to acquire the best analytical and business skills. Another advantage in such courses is of mentoring by certified and experienced industry aces that helps garner the latest best practices, techniques, skills, and practice on the latest trending technologies in the field of Business Analytics.
Apply what you learn:
Knowledge implies having the ability to translate theory into action. Accumulated skills get rusty in a while. So continue to hit the refresh button on your skills and do relevant courses in garnering additional skills that will set you apart from the aspiring job queues.
Get some experience:
Apply for internships to get some valuable experience on your resume. You can also volunteer and work part-time for some of the larger companies to ensure you have practical skills.
Now that you possess most of the skills required, do an internship and land a job based solely on your skills.