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 applied learning, making them experts in AI and Data Science. The Data Science course in Istanbul and in collaboration with IBM will make students industry-ready for AI and Data Science job roles.
According to the Forrester Wave report, September 2018, IBM is the world’s second-largest Predictive Analytics and Machine Learning solutions provider. Simplilearn along with IBM, will introduce students to the new-age concept of integrated applied learning, helping them gain expertise in AI and Data Science at an accelerated pace. The Data Science course in Istanbul, in collaboration with IBM help students become job-ready in AI and Data Sciene-related job roles and industries.
IBM, headquartered in Armonk, New York, is a premier cognitive solutions and cloud platform company, which offers a wide range of technology and consulting services. IBM invests $6 billion annually into research and development. The company 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 will these Data Science courses developed in collaboration with IBM give me?
After you complete the Data Scientist course in Istanbul, you will receive certificates from IBM and Simplilearn. These certificates, earned from the Data Science training in Istanbul, verify your skills as a Data Science expert, and show that you’ve finished your Data Science training in Istanbul. You will also gain:
Data Scientist is one of today’s most popular professions. IBM predicts Data Scientist’s demand will increase by 28% in 2020. The comprehensive Data Science course in Istanbul, in collaboration with IBM, will help you ace the advanced skills including data wrangling and visualization, data mining, clustering, statistics, regression models, decision trees, hypothesis testing, Spark, Hadoop, PROC SQL, logistic and linear regression, SAS Macros, supervised and unsupervised learning, etc.
This Data Scientist training in Istanbul, co-developed with IBM, deals with extensive Data Science training, fusing online instructor-led classes and self-paced learning. The program ends with a capstone project made to reinforce your extensive learning by creating a real industry product that encompasses all of the key aspects you learned throughout the program. These skills will prepare you for the role of a Data Scientist.
Our bootcamp program offering Data Science training in Istanbul will also help you gain real-life experience with its 15 industry projects based on different industry sectors and domains. These projects help you master concepts of Data Science and Big Data. Here are a few of the projects:
Capstone Project:
Description: You will go through dedicated mentor classes to create a high-quality industry project, solving a real-world problem by leveraging the skills and technologies learned throughout the program. The capstone project in this data science course in Istanbul covers all the key points of data extraction, cleaning, and visualization, to model building and tuning. You will also be able to choose the domain/industry dataset you wish to work on, based on the options available.
Upon submitting the project you will get a capstone certificate, that you can share with potential employers as a proof of your expanded learning from this data science training in Istanbul.
Project 1: Products rating prediction for Amazon
Domain: E-commerce
Amazon, one of the leading US-based e-commerce companies, typically recommends products that fall in the same category to customers, based on the latter’s activity and reviews of similar products. Amazon wants to improve this recommendation engine by expanding it to predict ratings for the non-rated products and adding them to customer recommendations accordingly.
Project 2: Improving customer experience for Comcast
Domain: Telecom
Description: Comcast, one of the leading US-based global telecommunication companies, wants to improve their customers’ experience by identifying problem areas that lower customer satisfaction, and act on these issues. The company is also seeking key recommendations that they can implement to deliver the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM, one of the leading US-based IT companies, wants you to identify the factors that influence employee attrition. Based on the parameters identified, the company also wants to build a logistics regression model that helps predict employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Walmart is one of the leading US-based retail stores. Determine if macroeconomic factors like CPI, unemployment rate, etc., impact sales.
Domain: Retail
Description: Walmart runs many promotional markdown events during the year. The markdowns typically precede prominent holidays and events like the Super Bowl, Labor Day, Thanksgiving, and of course, Christmas. The weeks where these holidays fall are weighted five times higher in valuation than ordinary weeks. The business, however, is facing a challenge due to unexpected demand, resulting in stocks running out at times, exacerbated by inaccurate demand estimation. Macroeconomic factors like CPI, Unemployment Index, etc. also play an important role in predicting demand, but the company hasn’t yet been able to leverage these factors. Part of this project requires creating a model to highlight the effects of the 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 can be used in many different aspects of healthcare, such as mediating hospital readmissions. Regardless of the industry, predictors are most useful when they can be turned into action. In other words, historical and real-time data alone are worthless without the company making a move. More importantly, in order to judge the value and efficiency of forecasting a trend and ultimately altering behavior, both the predictor and the intervention must be incorporated back into the same workflow and system where the trend originally began.
Project 6: Grasp 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 Istanbul.
Domain: Insurance
Description: According to the 2013 Insurance Predictive Modeling Survey, predictive analytics has increased greatly in the insurance industry, especially for the biggest companies. Although the survey showed an increase in predictive modeling across the industry, every company that writes over $1 billion in personal insurance employs predictive modeling, compared to just 69% of the companies who deal with less than that premium amount.
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 conducted a marketing campaign to give potential customers incentive to invest in a bank term deposit. The bank’s marketing campaigns were conducted via phone calls. However, sometimes the same customer was contacted more than once. Your job is to analyze all the data collected from this marketing campaign.
Project 8: Learn how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to derive consumable data from complex datasets.
Domain: Stock Market
Description: You must import data using Yahoo data reader from the following companies: Apple, Amazon, Microsoft, Google, and Yahoo. You must then perform fundamental analytics functions, such as performing daily return analysis, plotting stock trade by volume, plotting closing price, and using pair plot to show the stocks’ correlations.
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 in University of Minnesota’s Department of Computer Science and Engineering. The group’s researchers are involved in several research projects related to the fields of 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 placements on their shelves or optimize the inventory in their warehouses. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.
Data Scientists require a mixture of experience, data science knowledge, and the correct tools and technologies. It’s a strong career choice ideal for both new and experienced professionals alike. If you come from an analytics background you can easily fit into the Data Science course in Istanbul and for the given positions:
Any learner looking to extract the best value out of Simplilearn’s Data Scientist Course in Istanbul, would need to possess;
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.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
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 Scientists can expect an average annual compensation of ?22,000 in all the major cities of turkey. Istanbul is the largest city, and the economic centre of Turkey will have similar or even higher salaries. So a Data Scientist with a recognized data science training in Istanbul can get paid a total pay of ?101,000 annually.
Most of the top-notch Turkish and International companies have their headquarters in Istanbul. Data Scientist is a highly demanded job role in most of those companies. Such companies like Afiniti, Airties, Scoutium, Iyzico, Vodafone, Getir, Organon Analitik, and much more are eagerly hiring Data Scientists with good data science training in Istanbul.
The top economic contributors of Istanbul are tourism, the banking industry, the stock exchange, the shipping industry, export trades, the manufacturing industry, and the pharmaceutical industry. These industries are responsible for making Istanbul one of the largest economies in the world. Other than the mentioned industries, there are many more on the list. A Data Scientist with a reputed data science training in Istanbul will always have opportunities in the best companies of Istanbul.
Interested candidates can become Data Scientists by completing a reputed data science training in Istanbul and then applying for jobs that require related skills. With more experience, you can get jobs in the best companies in Istanbul with stunning salary packages.
Although you can get multiple online data science training courses in Istanbul, you will have to make sure it is a good course. So, see to that the course is in collaboration with top companies like IBM. Make sure there are live online classes led by industry experts. The course should give you access to exclusive hackathons, ask me anything sessions with IBM leadership, and more than 15 real-life data science projects so you can get exposure to tools like Python, Hadoop, Spark, and more
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.
The city of Istanbul lies in both Asia and Europe and is the fifteenth largest city in the world. Istanbul, with a population of around 15.5 million, is the most populous city in Turkey. Istanbul covers an area of 2,063 square miles, making it the largest city in Turkey. Istanbul has a mix of three different climates, therefore, warm to hot, dry summers, and cool winters. Istanbul is also known as the cultural and historic centre of Turkey. Istanbul is home to several UNESCO world heritage sites. The GDP of Istanbul is $237billion and has a per capita GDP of $15,285, thus making Istanbul one of the finest cities to work as a Data Scientist.
Millions of tourists visit Istanbul all around the year, making the city the fifth most popular tourist destination in the world. There are several places to visit in Istanbul, including the world heritage sites. The following are some of the most popular tourist attractions in Istanbul: