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Data Analytics

What is Business Analytics /Data Analytics/ Data Science?

Business Analytics or Data Analytics or Data Science certification course is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analysing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).ExcelR’s Data Science curriculum is meticulously designed and delivered matching the industry needs and considered to be the best in the industry.

Also, Google Trends shows the upward trajectory with an exponential increase in volume of searches like never seen before. This is proof enough to back the statements made by Harvard Business Review and the business research giants, that Business Analytics will be the most sort after professional world has ever witnessed.

What is a Data Scientist? Or Rather Who is a Data Scientist?

Data for a Data Scientist is what Oxygen is to Human Beings. This is also a profession where statistical adroit works on data – incepting from Data Collection to Data Cleansing to Data Mining to Statistical Analysis and right through Forecasting, Predictive modelling and finally Data Optimization. A Data Scientist does not provide a solution; they provide most optimized solution out of the many available.

Gartner predicted in 2012 that Data Scientist & Business Analytics jobs will increase to the tunes of Millions by the end of 2015. This is very evident with the rise in job opportunities in various job portals. As a Data Scientist or an aspirant, you should not believe us. Go! research for your own and confirm the facts and figures.

Who Should do The Course:

Professionals who can consider Business Analytics / Data Analytics Certification/ Data Science certificate program Training as a next logical move to enhance in their careers includes:

  • Professionals working on Business intelligence & reporting tools
  • Professionals working on Data warehouse technologies
  • Statisticians, Economists, Mathematicians
  • Software programmers (they have an edge in writing code to accomplish a prediction/classification/forecasting model)
  • Business analysts (they have an edge in terms of industry/sector/domain experience)
  • Six Sigma consultants who already have exposure to statistics
  • Freshers (market demand is thriving organisations to hire the freshers trained on analytics)

How to become a Data Scientist?

Accrue knowledge on dealing with data by getting trained and/or certified by any of the well-known institutes which have rich experience working closing with the ever-evolving industry.

Knowing data analytics tools or data mining software alone will not help you analyze data.

So WHAT else is required?

One should possess Domain/Sector/Industry knowledge and learn relevant concepts to strike the right nail. A few such examples which are not limited to those mentioned are:

  • One into web development might want to learnWeb Analytics
  • One into search engine optimisation might want to learnSocial Media Analytics & Website Analytics
  • One into sales & marketing might want to learnMarketing Analytics, Customer analytics, Twitter Analytics, Facebook Analytics, Social Media Analytics, Data Collection tools
  • One into human resources might want to learnWorkforce Analytics
  • One into health care might want to learn Healthcare Data Analytics

Real world problems:

Life Sciences & Health Care – Wearable Devices

  • Many people across the globe are wondering on how to predict diseases very early so that changing lifestyle habits will cure the disease instead of medication. For this people started wearing health bands, a few call them sports band which is used to track heart beat rate, calories burnt, sleeping patterns, number of steps taken (walked) and many more. Jawbone is the most famous wrist band and its users have helped generate about 130 million nights of sleep and expertscall it the biggest sleep study on the planet. Also recorded are about 1.6 trillion steps and 180 million items of food.

We can tag the data to our personal doctor who will monitor and inform us on what diseases we are likely to be infected with and what precautions should be taken to avoid it. Sounds WOW!

Retail – Location Based Analytics

  • Thousands of footfalls are witnessed in any known shopping mall across the globe. Can the store owners within the mall convert the footfalls into revenue? Answer is ‘YES’! The moment a person connects to free wi-fi available in the mall, a unique MAC address is assigned to the person. From there on the details such as time spent in a store, speed of movement (moving across the wifi zones/range), past buying behaviour, number of times a person visited a store versus number of times purchase happened and various other parameters are gauged, to send a personalised coupon which will lure the potential customer to become a source of revenue.

Number of coupons sent versus number of purchases & Number of coupons sent versus amount purchased are the key Business metrics captured & evaluated to enhance the prediction model. Amazing, isn’t it!

Watch out this space for interesting use cases…..

Real world problems:

Life Sciences & Health Care – Wearable Devices

  • Many people across the globe are wondering on how to predict diseases very early so that changing lifestyle habits will cure the disease instead of medication. For this people started wearing health bands, a few call them sports band which is used to track heart beat rate, calories burnt, sleeping patterns, number of steps taken (walked) and many more. Jawbone is the most famous wrist band and its users have helped generate about 130 million nights of sleep and expertscall it the biggest sleep study on the planet. Also recorded are about 1.6 trillion steps and 180 million items of food.

We can tag the data to our personal doctor who will monitor and inform us on what diseases we are likely to be infected with and what precautions should be taken to avoid it. Sounds WOW!

Retail – Location Based Analytics

  • Thousands of footfalls are witnessed in any known shopping mall across the globe. Can the store owners within the mall convert the footfalls into revenue? Answer is ‘YES’! The moment a person connects to free wi-fi available in the mall, a unique MAC address is assigned to the person. From there on the details such as time spent in a store, speed of movement (moving across the wifi zones/range), past buying behaviour, number of times a person visited a store versus number of times purchase happened and various other parameters are gauged, to send a personalised coupon which will lure the potential customer to become a source of revenue.

Number of coupons sent versus number of purchases & Number of coupons sent versus amount purchased are the key Business metrics captured & evaluated to enhance the prediction model. Amazing, isn’t it!

Watch out this space for interesting use cases…..

Why one should pursue a career in Data Science/Business Analytics/Data Analytics:

One may question if Data Science certification is worth it? The answer is yes. Data Science/Analytics is creating myriad jobs in all the domains across the globe. Business organizations realised the value of analysing the historical data in order to take informed decisions and improve their business. Digitalization in all the walks of the business is helping them to generate the data and enabling the analysis of the data. This is helping to create myriad Data Science/Analytics job opportunities in this space. The void between the demand and supply for the Data Scientists is huge and hence the salaries pertaining to Data Science are sky high and considered to be the best in the industry. A Data Scientist career path is long and lucrative as the generation of online data is perpetual and growing in the future. ExcelR offers the best Data Science online certification training along with classroom and e-learning certification courses. The complete Data Science course details can be found in our course agenda on this page.

Data Scientist Training and Placement:

Subsequent to the completion of our Data Science Certification program, assignments and projects placement assistance will kick start. Help will be rendered in terms of resume building, FAQs for the interviews, one-to-one discussion on job description during interview calls, etc. A couple of mock interviews (one on one / telephonic) will be conducted by the SMEs to evaluate the grey areas and areas of strength. This helps the participant to retrospect and understand their interview readiness. Participant can attend and successfully crack the interviews with complete confidence. We with our  association with ExcelR Solutions offers the best Data Science training and the reviews from our past participants vouch our statement.

 

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