• Next cohort Starts17th Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts17th Jun, 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

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 Cape Town 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. With the Data Science course in Cape Town, in collaboration with IBM, makes students ready for careers in data science and AI-related 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 Cape Town, certificates from IBM for the specific courses and Simplielarn for others will be unlocked for you. These certificates, earned from the Data Science training in Cape Town, verify your skills as a Data Science expert, and show that you’ve finished your Data Science training in Cape Town. 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 Cape Town, in collaboration with IBM, will help you ace the advanced skills like hypothesis testing, regression models (including linear and logistic regression models), data mining, data wrangling and data visualization, statistics, clustering, decision trees, PROC SQL, Hadoop, SAS Macros, Spark, supervised and unsupervised learning, and many others.

This Data Scientist training in Cape Town, 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 Cape Town?

  • 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 Cape Town

What projects are included in this Data Science course in Cape Town?

Our bootcamp program offering Data Science training in Cape Town comes with 15 real-life industry projects based on 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 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 Cape Town 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 receive a capstone certificate that will act as a testament to your expanded learning and skills from this data science training in Cape Town.

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 Cape Town.
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 Cape Town?

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 Cape Town for positions, including:

  • 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 Cape Town?

Any learner looking to extract the best value out of Simplilearn’s Data Scientist Course in Cape Town, 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 Cape Town?

When you’ve successfully completed Simplilearn’s Data Science course in Cape Town, 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. That is why taking a Data Science course in Cape Town is beneficial for aspiring professionals.

Data Science Courses 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
    • 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.

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

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.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 1,299

Data Science Training FAQs

  • How do I become a Data Scientist?

    This Data Science courses Cape Town co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and overview of the Hadoop ecosystem.

  • What can I expect from this Simplilearn Data Science course developed in collaboration with IBM?

    As a part of this Data Science online training Cape Town, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning Data Scientist course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • Can I pursue a Data Science course Cape Town after my graduation?

    Yes, this Data Science course Cape Town is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this course.

  • What is the salary of a Data Science and business analytics in Cape Town?

    With the ever-increasing growth of industries in Cape Town, Data scientists now have huge prospects in Cape Town. The average salary of a Data Science and Business Analytics professional in Cape Town is about R394,417 annually. Therefore, pursuing a Data Science training course Cape Town has a prerequisite for becoming a Data scientist.

  • What are the major companies hiring for Data Science and business analytics in Cape Town?

    Data is an important asset for all companies, and who better manages it than someone who has done a Data Science and Business Analytics course. Therefore, Data Science training course Cape Town completion is a requirement by many companies. Many big corporations and firms operate in Cape Town like Praekelt Consulting and many more.

  • What are the major industries in Cape Town?

    Tourism is considered one of the most important industries in Cape Town. The focus of Cape Town has shifted majorly from agriculture, fishery to business and finance sectors booming consistently. Manufacturing and textiles are also important sectors.

  • How to become a Data scientist in Cape Town?

    Many universities offer Data science training courses as per your need, online or offline, which will help you become a successful Data Scientist. After completing the qualification, one will be eligible to compete at the same level as other candidates to be a Data Scientist.

  • How to Find Data Scientist Courses in Cape Town?

    The Internet is a powerful tool to get information about all your requirements with just one single click. All your necessary information like cost, duration, location can be known easily online or by contacting the institute.

Data Scientist Course in Cape Town

Cape Town is the legislative capital of South Africa and the capital of the Western province. Cape Town is also known as the “mother city.” Cape Town covers an approximate total area of 116 square miles (300 square kilometres). Mediterranean type of climate is common in Cape Town. Freezing might occur but infrequently. Architecture is one of the strengths of Cape Town. Most of the residents are coloured; that is, people are of mixed races. Supermarkets and departmental stores are found easily in Cape Town. Health services are also quite good in Cape Town. GDP of Cape Town is par above the national average of South Africa.

Cape Town has many different attractions in and around the city to visit. Cape Town has beautiful architecture and many beaches, gardens and museums. Some of the many places to visit in Cape Town are:

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