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Capstone and 25+ industry-relevant data science projects to ensure comprehensive learning
Comprehensive data science curriculum with live online classes by industry experts
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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.
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.
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. This Simplilearn Data Science course in Prague (in collaboration with IBM) is designed to make students ready to lead the charge in Artificial Intelligence and Data Science related fields.
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 Prague, 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 Prague 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. You'd gain many certificates on the data science modules included in our Master's program, and each one of them will serve as endorsements of your skills as a Data Science pro and verify your achievement of having gone through a credible Data Science training in Prague. 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. This Simplilearn offered Data Science course Prague (in collaboration with IBM) is your solution to mastering top skills in the area including clustering, data mining and visualization, data wrangling, regression models (including logistic and linear regression), hypothesis testing, decision trees, and statistics, decision trees. 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 Prague, co-developed with IBM, focuses extensively in the field, bringing together online instructor-led classes and casual self-paced learning. To culminate your learning, a capstone project offers you the opportunity to prove your expertise in the cutting-edge skills by you working on a practical, industry-grade product, implementing which needs all the skills and techniques you've been trained in this bootcamp program. These same skills will better equip you in becoming a Data Scientist
This Data Science training in Prague 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 Prague
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 Prague.
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, in this project do multiple analytics-driven functions including performing return analysis (daily), plot stock closing price, stock trade (by volume) and uncover correlations between stocks with pair plots.
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. Individuals seeking to be data scientists but possessing some fundamental education in the area and having an analytical bent of mind are candidates that stand to benefit the most from our Data Science training in Prague, opening up their careers to sought-after job positions including:
If any professional is seeking to enroll and extract maximum impact out of this Simplilearn offered Data Scientist Course in Prague, what they’d need would be:
On becoming a program graduate of our Data Science course in Prague, 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 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 Science roles demand a keen understanding of today's pressing problems, the ability to gather and assimilate data into usable forms, create actionable analytics-driven strategies, apply algorithms (or techniques) via cutting-edge tools, and finally offer insights for profitable business decisions. That’s why it’s wise to take a data science course in Prague.
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.
Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.
* Ideal for aspiring SQL developers and data analysts
* Perfect for enhancing database management skills
* Beginner-friendly course designed by Simplilearn
* Covers basics to advanced topics of SQL
* Learn data storage, retrieval, and manipulation using SQL
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
* Gain a comprehensive overview of Python's tools and techniques for data analytics
* Experience vital skill development in Python for various data science roles
* Engage in a blended learning approach covering data wrangling, mathematical computing, and more
* Explore practical applications for a hands-on understanding
* Propel your data science career with Simplilearn's specialized training
* Gain career success with our comprehensive Machine Learning course
* Learn from 40+ hrs of Applied Learning and interactive labs
* Complete 4 hands-on projects to solidify your understanding
* Receive mentoring support throughout your learning journey
* Master essential machine learning concepts for certification
* Gain the skills needed to become a successful machine learning engineer
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.
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
* Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions
* 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.
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.
Expected New Jobs For Data Science And Analytics
Annual Job Growth By 2030
Average Annual Salary (US)
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 admission fee for this program is € 1,299
You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.
We provide the following options for one-time payment
The average salary of a data scientist in Prague is 840,000 K? ($38607.07) per year. Most of the big names providing such considerable wages in the field require Data Science training in Prague.
Kiwi, Accenture, MSD, Oracle, and others are some of the companies hiring data scientists in Prague. All of these companies provide considerable growth opportunities only if you have Data Science training in Prague. The demand for data scientists is also very high in startups.
Major industries in Prague include information technology, manufacturing, transportation, construction, and finance. If you have Data Science training in Prague, you can improve your career prospects and get better job opportunities in any of these major industries.
To become a data scientist in Prague, you must have Data Science training in Prague. One should have a strong foundation in maths and statistics. Basic R and Python skills are required. You should be familiar with analytics and modeling, machine learning methods, and data visualization. You should also be familiar with the Hadoop platform and Apache Spark and have substantial knowledge of data processing frameworks. A basic understanding of Data Extraction, Transformation, and Loading Data Wrangling and Data Exploration is also required.
Apart from having technical skills, one is also expected to be good at time allocation, critical reasoning, and soft skills like proficiency in communicating with people at all levels of the company. You should possess excellent data administration skills and problem-solving skills too.
To choose the best course that meets all your learning requirements, you can look for data scientist training in Prague online and compare and contrast the various online training providers based on the curriculum, industry partners, instructors, accreditations, etc. You can also connect with professionals already in the industry for more clarity and understanding.
As a part of this Data Science online course, in collaboration with IBM, you will receive the following:
Lifetime access to the e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
Industry-recognized certificates from IBM*(for IBM Data Science courses) and Simplilearn upon successful completion of the program
Access to masterclasses and hackathons conducted by IBM.
Prague is a capital city in the Czech Republic and is situated in the central-western part of the Czech Republic. Prague is classified as one of the most visited European cities. It is the 13th largest city in the European Union and the largest city in the Czech Republic. Prague is the political, cultural, and economic hub of Central Europe. It is known for several well-known cultural attractions and has been entailed in the UNESCO list of world heritage sites. The summers are warm and dry, whereas winters are chilly due to its temperate Oceanic climate. Prague has an area of 496 km sq, making it the largest city in the Czech Republic. It has an elevation of 399 m (1309 ft). Prague has a population of 1,335,084, making it one of the most populated cities in the Czech Republic, and has a density of 2700 km sq. The city of Prague is known as Alpha or global city. According to a report, Prague has been rated as the 13th most liveable city in the world. Currently, the GDP of Prague is €53.6bn, and GDP per capita is €59.100.
Prague is known for its colorful medieval Baroque buildings, Gothic churches, and the Astronomical Clock alongside secretive, narrow pathways. It is a beautiful historic city with a rich architectural heritage consisting of unique shops, restaurants, and shopping malls. Events like free concerts, festivals, and parades are often organized for the people. You can sip a beer at U Kalicha or go for a walk-through at Old Town Square.
The must-visit places in Prague are: