As shown in the Forrester Wave report from September 2018, IBM is the second-largest provider of Predictive Analytics and Machine Learning solutions in the world. This course offered by Simplilearn in collaboration with IBM is an applied learning program offering them a chance to gain unparalleled expertise in AI and Data science. The Data Science course in Tashkent gets students ready for a rich career in the fields of Artificial Intelligence and Data Science.
Headquartered in Armonk, New York, IBM is a respected leader in premier cognitive solutions and cloud platforms, offering a vast selection of technology and consulting services. The well-established company is an acknowledged leader in research and development, investing $6 billion annually into these fields. 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 Tashkent developed in collaboration with IBM give me?
You will receive certificates from IBM and Simplilearn for their respective courses, once you finish the Data Scientist online Master's program. The certificates, that this Data Science course in Tashkent unlocks allows its learners to prove their skill levels in the data science realms and is an attestation that they've successfully undergone this Data Science training in Tashkent. You will also receive:
The Data Scientist profession is one of the most popular IT-related professions available today. IBM predicts that the need for Data Scientists will increase by 28% in 2020. Simplilearn's (in collaboration with IBM) Data Science course in Tashkent, is your opportunity to master job-ready skills like clustering, data visualization, data mining, wrangling, regression models, logistic and regression testing, hypothesis testing, and statistics. The course also explores Hadoop, PROC SQL, SAS Macros, Spark, recommendation engine, supervised and unsupervised learning, and other valuable skills.
The Data Scientist Master’s program focuses on extensive Data Science training, combining online instructor-led classes and relaxed self-paced learning. Your Data Science training in Tashkent culminates with a capstone - which lets you perfect your learning by allowing you to work on actual business problem statements, solving which would require the application of everything you've learned in this course. All of these skills will help you become an expert Data Scientist.
This Data Science training in Tashkent boasts of more than 15 real-life, industry-based projects, emphasizing different domains. These projects help you grasp the more well-used concepts of Data Science and Big Data. Here are some of the projects you will encounter:
Capstone Project:
Description: You’ll undergo effective mentoring which will re-inforce your preparedness to tackle industry project attempting to resolve a real, industry problem via the skills and technologies you'd have mastered via our bootcamp. 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 top US-based e-commerce companies, habitually recommends products to customers that fall in categories that mesh with their past product activity and reviews. Amazon recommendation engine needs a boost of its capabilities - to help it make rating predictions on non-related products and having them included on the recommendation list shown to the customer.
Project 2: Improving customer experience for Comcast
Domain: Telecom
Description: Comcast, one of the top US-based global telecommunication companies, wants to take their customer service experience to the next level by locating problem areas that reduce customer satisfaction. Once these areas are found, Comcast wants a plan on how to solve this dilemma. The company is also looking for useful strategies that they can put in place to deliver the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM is one of the United States’ oldest and most well-known IT companies. This computer giant wants you to pinpoint the factors that influence employee attrition. Also, using the parameters identified, the company would like to develop a logistics regression model that predicts the employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, taking into consideration the impact of promotional markdown events. Walmart is one of America’s main retail stores. Figure out if macroeconomic factors like the Consumer Price Index, unemployment rate, etc., impact their sales.
Domain: Retail
Description: Walmart typically holds several promotional markdown events during the year. These markdowns usually revolve around popular holidays and annual events such as Labor Day, Thanksgiving, the Super Bowl, and of course, Christmas. The weeks with these holidays have a weighing factor five times higher in valuation than the normal, uneventful weeks. Walmart, however, is facing a challenge because of unanticipated demand, a situation made worse thanks to incorrect demand estimation. This flawed estimation results in the occasional stock shortfall. Macroeconomic factors like CPI, Unemployment Index, etc. can play an important role in predicting demand, but the company hasn’t yet figured out how to leverage these factors. Part of this project involves creating a model to highlight the effects of these promotional markdowns on the holiday weeks.
Project 5: Learn how top healthcare industry leaders use Data Science to improve their business in this data science course in Tashkent.
Domain: HealthCare
Description: Predictive analytics is a valuable tool for many facets of healthcare, like mediating hospital readmissions, for example. But regardless of the industry, predictors offer the most value when they can be acted upon. In other words, historical and real-time data alone are useless until the company takes appropriate action. Furthermore, in order to predict the value and effectiveness of forecasting a trend and thereby change its behavior, you have to be able to reintroduce both the predictor and the intervention into the same workflow and system where the trend originally began.
Project 6: Work on an insurance-based real-life project to understand how insurance leaders like AIG, AXA, Berkshire Hathaway, etc., use Data Science.
Domain: Insurance
Description: According to data found in the 2013 Insurance Predictive Modeling Survey, predictive analytics have increased noticeably in the insurance industry, especially among the larger companies. The survey shows a predictive modeling boost across the industry, but the trends are inconsistent. For example, every insurance company writing over $1 billion in personal insurance uses predictive modeling, but companies who deal with less than $1 billion are set 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 their competition.
Domain: Banking
Description: A Portuguese banking institution launched a marketing campaign to give potential customers a compelling reason to invest their money in a bank term deposit. The bank used phone calls for this marketing campaign. Unfortunately, sometimes a customer got multiple calls from the campaign. Your job is to analyze all the relevant data obtained from this marketing campaign.
Project 8: Understand how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to gather consumable data from complex data sets.
Domain: Stock Market
Description: You will use the Yahoo data reader to import data from the following companies: Amazon, Microsoft, Apple, Google, and Yahoo. You must then use this data to perform fundamental analytics functions such as plotting closing price, plotting stock trade by volume, running daily return analysis, and using pair plots to show the correlations between stocks.
Project 9: Learn how Data Science is used in the field of engineering by working on this case study of MovieLens Dataset Analysis.
Domain: Engineering
Description: The GroupLens Research Project is a research group at the University of Minnesota’s Department of Computer Science and Engineering. The researchers are involved in several projects relating to collaborative filtering, information filtering, and recommender systems.
Project 10: Explore 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: Big businesses use Analytics to optimize their product shelf placement in stores and their warehouse inventory. This project helps participants learn about the daily cycle of product optimization, taking it from the warehouse to the shelves. This cycle provides the company with insights into regular happenings in the retail sector.
The best Data Scientists have an eclectic mixture of experience, data science knowledge, and the associated tools and technologies. It’s a fantastic career path, suitable for rookies and seasoned experts alike. Data Science professionals aspiring to make it big and having an analytical bent of mind and a good background in preliminary education will find this Data Science training in Tashkent to be most beneficial; these include:
If individuals are looking to enroll and get the best out of this Data Scientist Course in Tashkent, they’d need
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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 clean, process, and store a company's data for usage with security. They compile and evaluate gigantic sets of structured and unstructured data. The Data Science training in Tashkent teaches candidates to master analyzing and managing data. The average salary of a candidate with Data Science Training in Tashkent is 26,000,000 UZS/year.
Data Science training in Tashkent empowers its candidates with experience by tasking them to smoothen and improvise a company's methodology. The significant companies hiring candidates with Data Science training in Tashkent are PwC, Cobblestone Energy, TotalEnergies, Abbott, Nokia, ARTEL, etc.
Tashkent's primary industries include finance, delivery services, consumer goods, industrials, agricultural and textile machinery manufacturing, consumer services, food processing industries, exports, and cotton textile production. These industries contribute to the growth and development of the country's economy and provide employment opportunities to potential candidates with Data Science training in Tashkent.
The Data Science training in Tashkent trains the students to excel in Data science and possess all the skills required. To become a Data Scientist in Tashkent, a candidate needs first to get their bachelor's degree in a field relevant to the industry. A master's degree or a certification in Data Science provides them with all the knowledge, practice, and skills required to become Data Scientists.
Pursuing a course in Data Science Training in Tashkent makes becoming a Data scientist much easier for the candidates. The multiple choices available make the selection process very hard, so the candidate must patiently opt for the course based on curriculum, trainer's experience, duration of the training, real-time projects, etc.
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.
Tashkent is located in and is the capital city of Uzbekistan. It is the hugest city in Central Asia, corroborating a total area of 335 sq km and embodying approximately 2.54 million residents as of 2019. It has the highest employment rate of Uzbekistan, with a GDP of 23,200.900 as of 2017, GDP per capita of 16,119.3 as of 2020, and a GDP growth rate of 6.6℅ as of 2021. Tashkent has various establishments that are tributes to art, music, theatre, drama, food, culture, dance, traditions, sports, nature, architecture, etc. The city experiences a dry-summer subtropical climate, average precipitation of 16.5 inches per year, and an elevation of 455 meters.
Tashkent consists of several incredible sites that tourists can explore, from which a few corroborate the Chorsu Bazaar, a historic market selling and exhibiting local gifts and products, a perfect place to be visited by shopaholics. The Amir Temur Square and Museum that honors and concentrates on the 14th-century ruler are ideal locations to be seen by tourists who indulge in architecture, history, and culture. Many locations for fun, thrill, and amusement also corroborate Lokomotiv Amusement Park, Magic City Park, Tashkentland, etc.