• Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses

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    Generative AI Edge

    Live sessions on the latest AI trends, Generative AI tools, prompt engineering, and more

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    Applied Learning

    Capstone and 25+ industry-relevant data science projects to ensure comprehensive learning

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    Top-notch Data Science course

    Comprehensive data science curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Science Course Overview

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features

  • Industry-recognized Data Scientist Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 25+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Scientist
  • Integrated labs for hands-on learning experience
Key Features
Industry-recognized Data Scientist Master’s certificate from Simplilearn
Dedicated live sessions by faculty of industry experts
Masterclasses from IBM experts
Industry-recognized IBM certifications for IBM courses
Ask-Me-Anything (AMA) sessions with IBM leadership
Capstone from 3 domains and 25+ projects
Exclusive hackathons conducted by IBM
Lifetime access to self-paced learning content
Program crafted to initiate your journey as a Data Scientist
Integrated labs for hands-on learning experience

Data Science Certification Advantage

Get certified in data science through our IBM program and receive both Data Scientist and IBM certificates to enhance your career prospects. Gain exclusive access to expert-led masterclasses and engaging AMAs with industry leaders.

  • Master's Certificate

    Earn Your Data Scientist Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get Ahead With IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Scientist Master's program developed in collaboration with IBM

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:

  • 24/7 access to IBM’s cloud platforms, featuring IBM Watson and other applications so that you can sharpen your skills with practice
  • Simplilearn’s industry-recognized and respected Data Scientist Master's certificate
     

What are the learning objectives?

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

What important skills will you acquire with this Data Science course in Vienna?

  • Gain a deep, working understanding of data structure and manipulation
  • Learn about linear and non-linear regression models and classification techniques, and how to use them. This information is key to data analysis
  • Get a firm understanding of linear regression, other supervised and unsupervised learning models, K-NN, pipeline, dimensionality reduction, logistic regression and clustering.
  • Conduct technical and scientific computing using the SciPy package and its sub-packages like Integrate, IO, Optimize, Statistics, and Weave, for instance.
  • Obtain expertise in mathematical computing using the NumPy and Scikit-Learn packages
  • Get familiarized with the various components of the Hadoop ecosystem
  • Earn experience working with HBase, including its architecture, and data storage capabilities. You will also learn how to distinguish between HBase and RDBMS, and perform partitioning using Hive and Impala
  • You will gain an understanding of MapReduce plus all its characteristics, as well as learning how to ingest data using key tools like Sqoop and Flume
  • Master how the recommendation engine works, and also get a grasp of time series modeling. Also get a real-world exposure to ML principles, algorithms and practical applications.
  • You will learn how to analyze data using Tableau, and become an expert in building interactive dashboards in this Data Science training in Vienna.

What projects are included in this Data Science course in Vienna?

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.

Who should take this Data Science course in Vienna?

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:

  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners or Recent Graduates in Bachelors or Master’s Degree

What are the prerequisites for this data science course in Vienna?

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:

  • Fundamental know-how of Statistics
  • A good foundational-level programming language understanding

What type of jobs will I be suited for after completing this data science course in Vienna?

On becoming a program graduate of our Data Science course in Vienna, you'd have acquired an in-demand skills set in the field of data science, which you can then use to compete for today's top roles, including:

  • Data Scientist 
  • Data Analytics Expert
  • Lead/Manager - Analytics 
  • Machine Learning(ML) Engineer
  • Specialist - Statistical Programming

Why be a Data Scientist?

Data extends into all areas of our lives, and Data Scientists are, unsurprisingly, the top-ranking professionals in any analytics organization. The Glassdoor employment site ranks the Data Scientist profession second in the 50 Best Jobs for 2021. There’s a shortage of Data Scientists, making them much in demand in today’s job market. Data Scientists will be required to understand current technology problem statements, gather and make sense of the data available, create usable data analytical strategies implement the right algorithms/techniques (by utilizing appropriate tools) and consequently making data-driven, actionable steps forward. That’s why it’s wise to take a data science course in Vienna.

Data Science Certification Learning Path

Accelerate your career with our top-ranked data scientist course. Learn the skills needed to showcase your data science skills through our curated learning path.

Learning Path

Electives:
  • Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

  • Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Explore comprehensive Power BI training for hands-on applied learning
    • Learn through a practical approach to help you gain expertise

  • Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

15+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Model Building and Finetuning
  • Ensemble Learning
  • Data Visualization
  • Database Management
  • Data Science
  • Supervise and Unsupervised Learning

14+ Tools Covered

ChatGPTDalle.2MySQLFSDNumPypandasSciPypythonRSeabornScikitLearntableauMatPlotlibMicrosoft ExcelPowerBI

Industry Projects

  • Project 1

    Sales Analysis

    Utilize Python to analyze a clothing company’s sales data for the fourth quarter across Australian states to help the company make data-driven decisions for the coming year.

  • Project 2

    Employee Performance Analysis

    Build ML models to understand various factors affecting employee turnover. Use clustering, SMOTDE & K-fold validation to analyze their performance & suggest retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and cluster analysis to create personalized song lists and an efficient recommendation system.

  • Project 4

    Interactive Sales Dashboard

    Create an interactive sales dashboard for an apparel OEM in Tableau for the sales department.

  • Project 5

    Crime Analysis with Tableau Dashboard

    Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You must create a dashboard/story using Tableau.

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to help a marketing department understand the factors contributing to customer acquisition and build a better strategy.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Science industry

Data science & analytics jobs are booming with 31% projected growth this decade. The data science platform market could surge from USD 10.15 billion (2024) to USD 29.98 billion (2029), demonstrating a 23.5% CAGR. This highlights the field's rapid expansion.

Job Icon11.5 M

Expected New Jobs For Data Science And Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth By 2030

Source: 365 Data Science
Job Icon$ 117-206K

Average Annual Salary (US)

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, Vienna
     course learners from Ernst & Young, Vienna
     course learners from Fidelity Investments, Vienna
     course learners from Johnson and Johnson, Vienna
     course learners from Vodafone, Vienna
     course learners from Broadcom, Vienna
     course learners from Accenture, Vienna
     course learners from Nomura Holdings, Vienna
     course learners from Ericsson, Vienna
     course learners from Infosys, Vienna
     course learners from Nvidia, Vienna
     course learners from Tata Consultancy Services, Vienna

Learner Reviews

Financing

The admission fee for this program is € 1.299

Pay in Installments

You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
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€ 1.299

Data Science Training FAQs

  • What is the salary of a Data Science expert in Vienna?

    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.

  • What are the major companies hiring Data Science experts in Vienna?

    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.

  • What are the major industries in Vienna?

    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.

  • How to Become a Data Science expert in Vienna?

    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.

  • How to Find Data Science expert Courses in Vienna?

    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.

Data Scientist Course in Vienna, Austria

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:

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