• Next cohort Starts12th Oct, 2024
  • Next cohort Starts12th Oct, 2024
  • Program duration11 months
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

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    IBM Advantage

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

    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

Take the first step to your goals

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 applied learning, making them experts in AI and Data Science. The Data Science course in Kyiv 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. You will be ready for AI and data science-related jobs upon completion of the Data Science course in Kyiv, in collaboration with IBM.

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 Kyiv, you will gain individual certificates from IBM for their courses, and from Simplilearn for the learning path courses. These certificates, earned from the Data Science training in Kyiv, verify your skills as a Data Science expert, and show that you’ve finished your Data Science training in Kyiv. You will also gain:

  • Access anytime to IBM’s cloud platforms, including IBM Watson and other applications for practice
  • Simplilearn’s industry-recognized Data Scientist Master's certificate

What are the key learning objectives?

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 Kyiv, in collaboration with IBM, will help you ace the advanced skills like Hadoop, PROC SQL. Spark, SAS Macros, data mining and wrangling, data visualization, regression models including linear and logistic regression, clustering, hypothesis testing, statistics, decision trees, unsupervised and supervised learning, and more.

This Data Scientist training in Kyiv, 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.

What important skills will you learn with this Data Science course in Kyiv?

  • Acquire an in-depth understanding of data structure and manipulation
  • Learn about and how to use linear and non-linear regression models and classification techniques dedicated to data analysis
  • Gain an in-depth knowledge of supervised and unsupervised learning models like clustering, dimensionality reduction, linear regression, logistic regression, K-NN, and pipeline
  • Conduct technical and scientific computing with the SciPy package and its sub-packages like Integrate, Optimize, Statistics, IO, and Weave, for example.
  • Obtain expertise in the field of mathematical computing using the NumPy and Scikit-Learn packages
  • Become familiar with the different components of the Hadoop ecosystem
  • Gain experience working with HBase, its architecture, and data storage. Learn to tell the difference between HBase and RDBMS, and conduct partitioning using Hive and Impala
  • Understand MapReduce and all its characteristics, and learn how to ingest data using tools like Sqoop and Flume
  • Master the underlying concepts of the recommendation engine and time series modeling. Get practical mastery over the algorithms, principles, and applications of machine learning
  • Learn how to analyze data using Tableau, and become skilled in building interactive dashboards in this data science training in Kyiv

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

Our bootcamp program offering Data Science training in Kyiv offers 15 projects on cutting-edge real industry situations in different domains to help you master the skills you've learned in the course. 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 Kyiv 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 be awarded with a capstone certificate that you can share with your networks and potential employers as a testament of your advanced learning and skills you gained from this data science training in Kyiv.

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 Kyiv.
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.

Who should take this Data Science course in Kyiv?

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 Kyiv and various 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 Kyiv?

Any learner looking to extract the best value out of Simplilearn’s Data Scientist Course in Kyiv, would need to possess;

  • A basic understanding of Statistics and its concepts
  • Understanding of at least of the top/relevant programming languages

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

When you’ve successfully completed Simplilearn’s Data Science course in Kyiv, what you’d have is a set of highly specialized and in-demand data science skills sought after today for top job roles such as:

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

Why be a Data Scientist?

Data Scientists are the top-ranking professionals in any analytics organization, and the Glassdoor job site ranks Data Scientists second in the 50 Best Jobs for 2021. Data Scientists are scarce and in demand in today’s IT job market. As a Data Scientist, you must understand and analyze business problems, build data analysis strategies, gain insights from the given dataset, and give solutions backed by data. Therefore, taking a Data Science course in Kyiv is beneficial for all the professionals looking forward to a job in the data science field.

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
    • Get access to practice tests to ace the PL-300 exam
    • Learn through projects to gain expertise in visualization

  • 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, and K-fold validation to analyze their performance.

  • 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, Kyiv
     course learners from Ernst & Young, Kyiv
     course learners from Fidelity Investments, Kyiv
     course learners from Johnson and Johnson, Kyiv
     course learners from Vodafone, Kyiv
     course learners from Broadcom, Kyiv
     course learners from Accenture, Kyiv
     course learners from Nomura Holdings, Kyiv
     course learners from Ericsson, Kyiv
     course learners from Infosys, Kyiv
     course learners from Nvidia, Kyiv
     course learners from Tata Consultancy Services, Kyiv

Learner Reviews

Financing

The admission fee for this program is € 1,099

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
  • Paypal

€ 1,099

Data Science Training FAQs

  • What is the salary of a Data Scientist in Kyiv?

    The average salary of a Data Scientist in Kyiv is 27,190 UAH per annum. To experience substantial career growth as a Data Scientist, you need to go through Data Science Training in Kyiv. This certification will ensure you have a competitive edge over your peers. With Data Science Training in Kyiv, your job prospects will improve, and you can land a job in any prominent company hiring Data Scientists.

  • What are the major companies hiring Data Scientists in Kyiv?

    Some of the major companies hiring Data Scientists in Kyiv include PSI CRO, Fractal.ai, Luxoft, and others. To secure a position in such companies, you need to go through Data Science Training in Kyiv. Given the rising demand for Data Scientists in the industry, Data Science Training offers better job prospects and ensures career growth.

  • What are the major industries in Kyiv?

    Some of the major industries in Kyiv include metallurgy, power generation, and the petrochemical and chemical industry. The production of resins, plastics, fertilizers as well as chemical fibers plays a significant role in upholding the economy of Kyiv. You can always expect to get offered a well-paying job in any of these industries after completion of Data Science Training in Kyiv.

  • How to become a Data Scientist in Kyiv?

    To become a Data Scientist in Kyiv, you need to go through Data Science Training in Kyiv. Data science is a vast domain, so having a stronghold on one of the high-level programming languages is crucial. Prerequisite qualifications to become a Data scientist in Kyiv include a major in computer science with further certification in AI and ML. These certification courses provide the necessary foundation to become an expert in Data Science. Also, aspiring individuals should seek guidance from Data science professionals to get hands-on experience with the workflow.

  • How to find a Data Scientist course in Kyiv?

    You can find various online courses on Data Science Training in Kyiv. Look for the area where you want to specialize, and select accordingly. It is crucial to have an honest assessment based on your current skill set. You can also compare various courses online, syllabus covered, industry partners, and above all, its credibility. Go for a course that is well under your budget and meets all your learning requirements.

Data Scientist Course in Kyiv, Ukraine

Kyiv is the capital and the most populous city of Ukraine. At an elevation of 179m, the entire city of Kyiv is spread across 839 sq. km. The entire population of the city is 2,962,180 as of the 2021 census. Kyiv also showcases a warm-summer humid climate, making it one of the best places to live. Kyiv has become one of the most prosperous cities of Ukraine, contributing $30 billion. The per capita income of Kyiv is $10,000. It is one of the best cities to reside in to focus on continuing your professional career simultaneously.

The city of Kyiv not only shares industrial significance, but at the same time, it is also the home of various historical landmarks. The following are some of the best attraction sites you can visit in Kyiv:

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.