• Next cohort Starts16th Jul, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts16th Jul, 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

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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

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 Simplilearn course (in collaboration with IBM) guides learners via an intense applied learning approach giving them all they need to become Data and AI experts. The Data Science course in Cambridge 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 Cambridge 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 granted to professionals who are part of Simplilearn's Data Science course in Cambridge showcase their grasp of data science and related fields and proves to employers that they've gone through a recognized Data Science training in Cambridge. You will also receive:

  • 24/7 access to IBM’s cloud platforms, which also features IBM Watson and other relevant applications suitable for practicing your skills
  • Simplilearn’s industry-recognized Data Scientist Master's certificate

What are the learning objectives?

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. Our Data Science course in Cambridge with IBM (a collaboration) lets you gain vital skills including clustering, visualization (data), data wrangling and mining, logistic and regression testing, statistics, and hypothesis testing. 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. This Simplilearn-provided Data Science training in Cambridge suitably ends in a capstone project that acts as a perfect roundup of your learning by giving you a chance to implement all that you've learned via the training to a real business product. All of these skills will help you become an expert Data Scientist.

What important skills or benefits will you acquire with this Data Science course in Cambridge?

  • Get a deep, working understanding of how data is structured and manipulated
  • Understand linear and non-linear regression models and classification techniques, including how to employ them, an important skill for data analysis
  • Get the right skills to implement clustering and other supervised/unsupervised models, logistic and linear regression, dimensionality reduction, pipeline and K-NN.
  • Perform technical and scientific computing with the SciPy package and its sub-packages such as Integrate, IO, Optimize, Statistics, and Weave.
  • Achieve expertise in mathematical computing using the NumPy and Scikit-Learn packages
  • Familiarity with the many components of the Hadoop ecosystem
  • Gain experience working with HBase, including its data storage capabilities and architecture. You will also learn how to tell the difference between HBase and RDBMS, and conduct partitioning with Hive and Impala
  • You will learn about MapReduce and its characteristics, as well as how to ingest data with key tools like Sqoop and Flume
  • Get a working understanding of a recommendation engine and how to use time series modeling. In addition, you also get trained in fundamental ML principles, most effective algorithms and popular applications.
  • You will gain data analysis skills in using Tableau, and become proficient in building interactive dashboards in the data science training in Cambridge.

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

This Data Science training in Cambridge 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: Top quality mentoring sessions will help you complete industry-aligned project where you tackle an industry problem with real implications leveraging the knowledge of technologies and skills you've been exposed to. 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 is seeking an capability upgrade to its recommendation engine - equipping it with the power to make and map rating predictions on products not related and also add them to the list of recommendations the customer views.

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 Cambridge.
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.

Who should take this Data Science course in Cambridge?

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. Professionals with goals of being data scientists, but also possessing good analytical skills and fundamental education are the ideal learners of this Data Science training in Cambridge; the list of professionals comprise:

  • 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 Cambridge?

If individuals are looking to enroll and get the best out of this Data Scientist Course in Cambridge, they’d need

  • Basic (working level) knowledge of Statistics
  • A fundamental grasp of any related programming language

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

As someone who has successfully undergone the training offered in this unique Simplilearn Data Science course in Cambridge, you possess the skills that should allow you to confidently go after dream job roles, including:

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

Why be a Data Scientist?

Data is everywhere. We use it at work, at home, or when conducting online commerce, and more is generated every day. So, Data Scientists are consequently the highest ranked professionals in any analytics organization. Glassdoor ranks the career of Data Scientist second in the 50 Best Jobs for 2021. There’s a shortage of Data Scientists, so that’s why it’s a great idea to take this data science course in Cambridge. An individual with data science expertise can accurately understand the business problem, collect and clean the required data for developing strategies via data analytics, use today's most accurate algorithms and techniques to come up with data driven recommendations for making decisions.

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

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.

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£ 1,299

Data Science Training FAQs

  • What is the salary of a Data Scientist and Business Analytics in Cambridge?

    The average salary of a data scientist and business analyst in Cambridge is approximately $96,528. Skilled workers with 10 to 19 years of experience can get earnings of up to $122,000. Data scientists who get certified with a Data Science Training Course in Cambridge will get huge annual salary packages.

  • What are the major companies hiring for Data Scientists and Business Analytics in Cambridge?

    In the present scenario, many companies in Cambridge are employing data scientists and business analysts. But, a few prominent corporations are Microsoft, Philips, Insurify, DIGITALiBiz, Dice, Amazon, Amwell, EQRx, Scipher medicine, and more. Several major firms will immediately hire employees who received a Data scienceTraining Course in Cambridge.

  • What are the major industries in Cambridge?

    Educational institutions and manufacturing remained as the major industries in Cambridge city. Some of the flourishing businesses are pharmaceutical, technology, construction, research development, automotive, banking, biotechnology, accounting, food processing, health care services & hospitals, and computer software and hardware services. At present, data scientists have high demand in nearly all industries, and the right Data scienceTraining Course in Cambridge can significantly increase the credibility of your profile for data scientist roles in Cambridge.

  • How to Become a Data Scientist and Business Analyst in Cambridge?

    To become a data scientist and business analyst in Cambridge, you need to learn the required skills: programming language, statistics, advanced machine learning, algorithms, data extraction, data transformation, and data processing frameworks. Getting certification for the Data Science Training Course in Cambridge can make you a highly skilled data scientist.

  • How to Find Data Science Training Courses in Cambridge?

    Recognizing the high demand for data scientists, several universities in Cambridge are offering options for a Data scienceTraining Course in Cambridge, such as machine learning, data science tools, python, and many more. Some of the high-end institutions in Cambridge are Harvard University, MITx, and IBM. These educational establishments offer sample courses as well.

Data Scientist Course in Cambridge

Cambridge is a city in Massachusetts, and it belongs to the Boston metropolitan area. Reports from July 2019 have shown that Cambridge is the fifth most populous city in the state of Massachusetts, with an estimated 2020 population of 119,192.

Cambridge city is fixed on a whole area of 7.10 square miles. It is located at an elevation of 40 ft (12 m) and has a warm continental summer climate. Cambridge city can also be called the "City of Squares." Cambridge is located literally north of Boston, beyond the Charles River. Cambridge gets surplus rainfall, so it has no dry season. As of 2019, the entire gross domestic product (GDP) of Boston-Cambridge-Newton, MA-NH (MSA) is $423,725.

Global ranking universities like Harvard University and Massachusetts Institute of Technology are located in Cambridge. Other than educational institutions, Cambridge is also home to historical monuments, museums, art galleries, vintage shopping stores, cafes, and many more. Here are a few places in Cambridge that are worth a visit:

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