IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. Our Data Science course in Vienna which is offered in collaboration with IBM is ideal to make its students job-ready for AI and Data science careers.
According to the September 2018, Forrester Wave report, IBM is the world’s second-biggest provider of Predictive Analytics and Machine Learning solutions. Simplilearn, working in partnership with IBM, introduces new students to the idea of integrated blended learning, imparting valuable expertise in Artificial Intelligence and Data Science. The Data Science course in Vienna, run in collaboration with IBM, prepares students for rewarding careers in the cutting-edge Artificial Intelligence and Data Science industries.
IBM is headquartered in Armonk, New York, and is a respected premier cognitive solutions and cloud platform company, offering a vast selection of technology and consulting services. The company is a known leader in research and development and invests $6 billion annually in these endeavors. IBM has won five Nobel prizes, five US National Medals of Science, six Turing Awards, nine US National Medals of Technology, and 10 inductions into the US Inventors Hall of Fame.
What benefits will this Data Science course in Vienna developed in collaboration with IBM give me?
After you finish the Data Scientist online Master's program, you will be awarded completion certificates from IBM and from Simplilearn for their respective courses. The certificates that you'd acquire with the Data Science courses which are part of this Master's program validate your skill level as an expert in Data Science and also prove that you've finished the Data Science training in Vienna well. You also acquire:
Data Scientist is currently one of the most popular IT-related professions. IBM predicts Data Scientist demand will rise by 28% through 2020. Our Data Science course Vienna in collaboration with IBM offers you work-ready learning in vital areas such as data mining, clustering, data visualization, wrangling, regression models, decision trees, statistics, linear and logistic regression, and hypothesis testing. You will also learn about Hadoop, PROC SQL, SAS Macros, Spark, recommendation engine, supervised and unsupervised learning, and many more valuable skills.
The Data Scientist training in Vienna, co-developed with IBM, focuses extensively in the field, bringing together online instructor-led classes and casual self-paced learning. A capstone project culminates the project and it further enhances your grasp and mastery of the skils by allowing you to experience a real-industry problems that perfectly requires all the knowledge you've gained in our program. These same skills will better equip you in becoming a Data Scientist
This Data Science training in Vienna features more than 15 real-life, industry-based projects highlighting different domains. These projects help you master concepts of Data Science and Big Data. Here are a few of the projects:
Capstone Project:
Description: You’ll go through dedicated mentor classes to generate a high-quality industry project where you solve a real-world problem by leveraging the skills and technologies that you learned throughout the program. The capstone project includes all the key points of data extraction, cleaning, and visualization, and how to build and tune models. You can also choose the domain/industry dataset you want to work on, based on whatever options are available.
After you successfully submit your project, you will earn a capstone certificate, showcasing your expanded learning and skills to potential employers.
Project 1: Products rating prediction for Amazon
Domain: E-commerce
Amazon, one of the leading US-based e-commerce companies, usually recommends products to customers that fall in a similar category that jibes with their activity and reviews. Amazon would like to boost this recommendation engine by increasing its capabilities, letting it predict ratings for non-rated products and adding them accordingly to the customer’s recommendations.
Project 2: Improving customer experience for Comcast
Domain: Telecom
Description: Comcast, one of the top US-based global telecommunication companies, wants to improve their customer service experience by spotting problem areas that decrease customer satisfaction, and come up with a plan on how to address these issues. The company is also looking for key recommendations that they can put in place to provide the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM, one of the oldest and most popular US-based IT companies, wants you to pinpoint the factors that affect employee attrition. Based on the parameters identified, the company also would like to build a logistics regression model that forecasts employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, taking the impact of promotional markdown events into consideration. Walmart is one of America’s leading retail stores. Determine if macroeconomic factors like the Consumer Price Index, unemployment rate, etc., impact their sales.
Domain: Retail
Description: Walmart holds several promotional markdown events throughout the year. These markdowns typically precede popular holidays and annual events like the Super Bowl, Labor Day, Thanksgiving, and, naturally, Christmas. The weeks where these holidays occur have a weighing factor five times higher in valuation than regular weeks. The company, however, is facing a challenge due to unanticipated demand, a situation made worse by incorrect demand estimation. This results in occasional stock shortfalls. Macroeconomic factors such as CPI, Unemployment Index, etc. can potentially play an important role in predicting demand. However, the company hasn’t yet managed to leverage these factors. A portion of this project involves creating a model to call out the effects of these promotional markdowns on holiday weeks.
Project 5: Learn how the top healthcare industry leaders make use of Data Science to improve their business.
Domain: HealthCare
Description: Predictive analytics is a useful tool in many different aspects of healthcare, like mediating hospital readmissions. But no matter what the industry, predictors are most valuable when they’re actionable. Or, put another way, historical and real-time data alone are useless unless the company makes a move. More importantly, in order to ascertain the value and effectiveness of forecasting a trend and ultimately changing the behavior, you must be able to incorporate both the predictor and the intervention back into the same workflow and system where the trend originally started.
Project 6: Understand how Insurance leaders like AIG, AXA, Berkshire Hathaway, etc., use Data Science by working on an insurance-based real-life project in this data science course in Vienna
Domain: Insurance
Description: According to information in the 2013 Insurance Predictive Modeling Survey, predictive analytics has risen sharply in the insurance industry, particularly in the biggest companies. For example, the survey shows a predictive modeling boost across the industry, but there are disparities. In fact, every insurance company that writes more than $1 billion in personal insurance uses predictive modeling, while companies who deal with less than that amount hover in the 69% utilization range.
Project 7: See how large banks like Bank of America, Citigroup, ICICI, HDFC, etc. use Data Science to stay ahead of the competition.
Domain: Banking
Description: A Portuguese banking institution held a marketing campaign to give prospective customers a good reason to invest in a bank term deposit. The bank used phone calls to conduct their marketing campaigns. However, sometimes the same customer got repeated calls, resulting in duplication of effort. Your job is to analyze all the data gathered from this banking marketing campaign.
Project 8: Learn how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to derive consumable data from complex data sets in this data science training in Vienna.
Domain: Stock Market
Description: You must import data from the following companies, using the Yahoo data reader: Amazon, Apple, Google, Microsoft, x and Yahoo. You will be required activities using fundamental analytics, including daily return analysis, closing price plots, stock trade volume plots and correlation plots (using pair plots) between multiple stocks.
Project 9: Understand how Data Science is used in the field of engineering by engaging in this case study of MovieLens Dataset Analysis.
Domain: Engineering
Description: The GroupLens Research Project is a research group based at the University of Minnesota’s Department of Computer Science and Engineering. The researchers there are involved in several projects related to collaborative filtering, information filtering, and recommender systems.
Project 10: See how top retail companies like Amazon, Walmart, Target, etc. utilize Data Science to analyze and optimize their product placements and stock inventory.
Domain: Retail
Description: Companies use Analytics to optimize product shelf placement in their stores or the inventory in their warehouses. With this project, participants learn about the daily cycle of product optimization from the warehouse to the shelves. This gives the company insights into regular occurrences in the retail sector.
The most effective Data Scientists possess a combination of experience, data science knowledge, and the appropriate tools and technologies. It’s a great career choice, perfect for both rookies and seasoned professionals alike. Aspiring individuals with an analytical mindset and related training will find this Data Science training in Vienna to the ideal boost for positions like:
If any professional is seeking to enroll and extract maximum impact out of this Simplilearn offered Data Scientist Course in Vienna, what they’d need would be:
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This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Our course is exhaustive and this Data Science certification is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
Data science experts can earn up to an average of €53 thousand per annum in Vienna, approximately Rs 46 lakh. As data processing and visualization are gaining momentum, the demand for individuals well equipped with knowledge of processing data is rising. You can get Data science training in Vienna to apply for job openings at big firms.
Siemens, IBM, and Capgemini are some companies that hire Data Scientists and Analysts. You need to have an understanding of big data that allows you to get patterns in the output. Data science training in Vienna will help you gain the skill required for this job.
There are several industries like trade, food & beverage, tourism, and transportation that are booming in Vienna. Industries are rapidly making their mark in the service and technology sector. A data science certification can land you high-paying jobs in any of these sectors.
A Data science expert needs to have a thorough understanding of big data and its application. Basic skills such as Programming, data visualization, and processing are necessary. As the majority of Data science experts are hired as a part of research or analyst teams, it is important to have professional training in order to gain some experience. Acquiring Data science training in Vienna is highly recommended.
There are several E-learning providers that offer Data science training in Vienna. You can browse through the numerous courses and pick a course that suits you best according to your budget and timeline. Take into account some categories like curriculum, tutors, accreditation, and partnered universities in mind while looking for the right course. Consult with an industry expert for a professional opinion.
In a Data Science course, you will learn about many concepts if you are a beginner or an intermediate. This training program is around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Besides the theoretical material, our Data Science course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.
Vienna is the capital city of Austria. The city has a population of around 2 million, making it the most populous city in Austria.
The entire city is spread across 414 km2. Tourism is rampant owing to its beautiful surrounding and structural marvels. The tourist footfall is around 6.7 million a year. It contributes around 25.7% of Austria’s GDP.
Due to its oceanic climate, Vienna has warm summers and cold winters with frequent rainfalls. This city is known for its high standard of living, and hence people all around the world shift there to settle down.
Vienna, with its marvelous museums and scenic beauty, has several tourist spots and activities. From gardens to museums to art galleries, this city has it all. Its rich art and culture is why year after year several tourists from all over the world travel to this marvelous city. Here are some of the finest destinations you can visit in Vienna: