• Next cohort Starts20th May, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts20th May, 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

  • Masterclasses from IBM experts
  • Dedicated live sessions by faculty of industry experts
  • Industry-recognized Data Scientist Master’s certificate from Simplilearn
  • 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
Masterclasses from IBM experts
Dedicated live sessions by faculty of industry experts
Industry-recognized Data Scientist Master’s certificate from Simplilearn
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 blended learning, making them experts in Artificial Intelligence and Data Science. The Data Science course in Houston in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.

According to the September 2018, Forrester Wave report, IBM is the world’s second-biggest provider of Predictive Analytics and Machine Learning solutions. Simplilearn, working in partnership with IBM, introduces new students to the idea of integrated blended learning, imparting valuable expertise in Artificial Intelligence and Data Science. The Data Science course in Houston, run in collaboration with IBM, prepares students for rewarding careers in the cutting-edge Artificial Intelligence and Data Science industries.

IBM is headquartered in Armonk, New York, and is a respected premier cognitive solutions and cloud platform company, offering a vast selection of technology and consulting services. The company is a known leader in research and development and invests $6 billion annually in these endeavors. 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 Houston developed in collaboration with IBM give me?

After you finish the Data Scientist online Master's program, you will be awarded completion certificates from IBM and from Simplilearn for their respective courses. These certificates, gained through the Data Science courses in this Master’s program, demonstrate your skills as a Data Science expert and verify that you’ve completed your Data Science training in Houston. You also acquire:

  • 24/7 access to IBM’s cloud platforms, featuring IBM Watson and other applications so that you can sharpen your skills with practice
  • Simplilearn’s industry-recognized and respected Data Scientist Master's certificate
     

What are the learning objectives?

Data Scientist is currently one of the most popular IT-related professions. IBM predicts Data Scientist demand will rise by 28% through 2020. Simplilearn's Data Science course Houston, created in partnership with IBM, empowers you to master key skills like clustering, data mining, data visualization, data wrangling, hypothesis testing, regression models, statistics, decision trees, and linear and logistic regression. You will also learn about Hadoop, PROC SQL, SAS Macros, Spark, recommendation engine, supervised and unsupervised learning, and many more valuable skills.

The Data Scientist training in Houston, co-developed with IBM, focuses extensively in the field, bringing together online instructor-led classes and casual self-paced learning. The program finished up with a capstone project designed to reinforce your newly acquired learning by working on a real industry product that brings together all of the key aspects you learned throughout the program. These same skills will better equip you in becoming a Data Scientist

What important skills will you acquire with this Data Science course in Houston?

  • Gain a deep, working understanding of data structure and manipulation
  • Learn about linear and non-linear regression models and classification techniques, and how to use them. This information is key to data analysis
  • Acquire an in-depth knowledge of supervised and unsupervised learning models such as linear regression, clustering, logistic regression, dimensionality reduction, K-NN, and pipeline
  • Conduct technical and scientific computing using the SciPy package and its sub-packages like Integrate, IO, Optimize, Statistics, and Weave, for instance.
  • Obtain expertise in mathematical computing using the NumPy and Scikit-Learn packages
  • Get familiarized with the various components of the Hadoop ecosystem
  • Earn experience working with HBase, including its architecture, and data storage capabilities. You will also learn how to distinguish between HBase and RDBMS, and perform partitioning using Hive and Impala
  • You will gain an understanding of MapReduce plus all its characteristics, as well as learning how to ingest data using key tools like Sqoop and Flume
  • Master the underlying concepts of the recommendation engine in addition to time series modeling. You will also acquire practical mastery over machine learning's algorithms, principles, and applications.
  • You will learn how to analyze data using Tableau, and become an expert in building interactive dashboards in this Data Science training in Houston.

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

This Data Science training in Houston features more than 15 real-life, industry-based projects highlighting 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’ll go through dedicated mentor classes to generate a high-quality industry project where you solve a real-world problem by leveraging the skills and technologies that you learned throughout the program. 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 leading US-based e-commerce companies, usually recommends products to customers that fall in a similar category that jibes with their activity and reviews. Amazon would like to boost this recommendation engine by increasing its capabilities, letting it predict ratings for non-rated products and adding them accordingly to the customer’s recommendations.

Project 2: Improving customer experience for Comcast

Domain: Telecom

Description: Comcast, one of the top US-based global telecommunication companies, wants to improve their customer service experience by spotting problem areas that decrease customer satisfaction, and come up with a plan on how to address these issues. The company is also looking for key recommendations that they can put in place to provide the best customer experience.

Project 3: Attrition Analysis for IBM

Domain: Workforce Analytics

Description: IBM, one of the oldest and most popular US-based IT companies, wants you to pinpoint the factors that affect employee attrition. Based on the parameters identified, the company also would like to build a logistics regression model that forecasts employee churn rate.

Project 4: Predict accurate sales for 45 Walmart stores, taking the impact of promotional markdown events into consideration. Walmart is one of America’s leading retail stores. Determine if macroeconomic factors like the Consumer Price Index, unemployment rate, etc., impact their sales.

Domain: Retail

Description: Walmart holds several promotional markdown events throughout the year. These markdowns typically precede popular holidays and annual events like the Super Bowl, Labor Day, Thanksgiving, and, naturally, Christmas. The weeks where these holidays occur have a weighing factor five times higher in valuation than regular weeks. The company, however, is facing a challenge due to unanticipated demand, a situation made worse by incorrect demand estimation. This results in occasional stock shortfalls. Macroeconomic factors such as CPI, Unemployment Index, etc. can potentially play an important role in predicting demand. However, the company hasn’t yet managed to leverage these factors. A portion of this project involves creating a model to call out the effects of these promotional 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 is a useful tool in many different aspects of healthcare, like mediating hospital readmissions. But no matter what the industry, predictors are most valuable when they’re actionable. Or, put another way, historical and real-time data alone are useless unless the company makes a move. More importantly, in order to ascertain the value and effectiveness of forecasting a trend and ultimately changing the behavior, you must be able to incorporate both the predictor and the intervention back into the same workflow and system where the trend originally started.

Project 6: Understand 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 Houston

Domain: Insurance

Description: According to information in the 2013 Insurance Predictive Modeling Survey, predictive analytics has risen sharply in the insurance industry, particularly in the biggest companies. For example, the survey shows a predictive modeling boost across the industry, but there are disparities. In fact, every insurance company that writes more than $1 billion in personal insurance uses predictive modeling, while companies who deal with less than that amount hover 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 the competition.

Domain: Banking

Description: A Portuguese banking institution held a marketing campaign to give prospective customers a good reason to invest in a bank term deposit. The bank used phone calls to conduct their marketing campaigns. However, sometimes the same customer got repeated calls, resulting in duplication of effort. Your job is to analyze all the data gathered from this banking marketing campaign.

Project 8: Learn how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to derive consumable data from complex data sets in this data science training in Houston.

Domain: Stock Market

Description: You must import data from the following companies, using the Yahoo data reader: Amazon, Apple, Google, Microsoft, x and Yahoo. You must use this data to perform fundamental analytics functions like performing daily return analysis, plotting closing price, plotting stock trade by volume, and using pair plots to show the correlations between stocks.

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 based at the University of Minnesota’s Department of Computer Science and Engineering. The researchers there are involved in several projects related to 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 shelf placement in their stores or the inventory in their warehouses. With this project, participants learn about the daily cycle of product optimization from the warehouse to the shelves. This gives the company insights into regular occurrences in the retail sector.

Who should take this Data Science course in Houston?

The most effective Data Scientists possess a combination of experience, data science knowledge, and the appropriate tools and technologies. It’s a great career choice, perfect for both rookies and seasoned professionals alike. Potential Data Science professionals who have an analytical mindset coupled with any kind of educational background are the best candidates for the Data Science training in Houston, including 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 Houston?

If any professional is seeking to enroll and extract maximum impact out of this Simplilearn offered Data Scientist Course in Houston, what they’d need would be:

  • Fundamental know-how of Statistics
  • A good foundational-level programming language understanding

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

On becoming a program graduate of our Data Science course in Houston, you'd have acquired an in-demand skills set in the field of data science, which you can then use to compete for today's top roles, including:

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

Why be a Data Scientist?

Data extends into all areas of our lives, and Data Scientists are, unsurprisingly, the top-ranking professionals in any analytics organization. The Glassdoor employment site ranks the Data Scientist profession second in the 50 Best Jobs for 2021. There’s a shortage of Data Scientists, making them much in demand in today’s job market. Data Scientists must be able to grasp business problems, design appropriate data analysis strategies, gather and format any required data, apply the appropriate algorithms or techniques using the right tools, then make the best data-backed recommendations. That’s why it’s wise to take a data science course in Houston.

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

Learner Reviews

Financing

The admission fee for this program is $ 1,449

Pay in Installments

You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

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We provide the following options for one-time payment

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$ 1,449

Data Science Training FAQs

  • What is a Data Science course?

    Data science courses are training programs that aim to give students the abilities and information necessary to use methods from programming, statistics, machine learning, and domain expertise to analyze, evaluate, and extract useful insights from big and complicated datasets.

    In this data science course, you will learn about many concepts of varied complexity- from beginner to intermediate and advanced levels. This data science 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 topics on machine learning, deep learning, virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced applied learning experience. The course also includes data science projects, assignments on business analytics, and a data science capstone project.

    If you aspire to pursue a career in data science, this course is best suited for you.

  • How do I become a Data Scientist?

    This Data Science course in Houston 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 an 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 training in Houston, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM*(for IBM courses) 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

  • How do I enroll for the Data Scientist course in Houston?

    You can enroll in this Data Science training in Houston on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What is the salary of a Data Science and Business Analytics expert in Houston?

    A proficient Data Science and Business Analytics expert can get an average base salary of around $1L annually with their skillsets in Houston. Although, the Salary package depends on, company, geographical location and skillsets. Marketing through digital channels is gaining popularity at a rapid pace. Due to this, the demand for certified digital marketing specialists in Houston has increased. Hence, aspiring to do a Data Science course in Houston could help you get a better salary.

  • What are the major companies hiring for Data Science and Business Analytics expert in Houston?

    Data Scientist could help the companies to enable data-driven decision making that could increase profits and improve the efficiency of the companies. So, many well-known companies are looking out for professionals with a Data Science course in Houston. A few names among these companies are Baker Hughes, and Atlantisitgroup. A Data Science course in Houston can help you get better job opportunities in these well-known companies.

  • What are the major industries in Houston?

    majorly to Houston's economy are the energy industry, health care, biomedical research and aerospace. Data and Business analytics helps a company to make informed business decisions. So, many companies from these industries have hired professionals with Data Science training in Houston. A Data Science training in Houston could get you better job opportunities in these companies.

  • What is the salary of data scientists across the world?

    With the growing demand for data scientists but a talent scarcity, companies worldwide are paying high salaries to skilled professionals. A data science certification further increases your earning potential.

    Here are the data scientist’s average annual salaries across some top countries (Source: Payscale):

    • India - ₹972,217 in 2024

    • US - $100,507

    • Australia - A$95,254

    • Canada - C$83,638

    • Singapore - SGD71,654

    • UK - £41.437

    The pay scale may vary based on the work location, the candidate’s experience, and the increasing demand for data science professionals.

  • I am not able to access the data science course. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the live chat link, or request a callback.

  • Who are the instructors for this data science training, and how are they selected?

    Our highly qualified data science trainers are industry experts with many years of relevant experience in fields like machine learning, python for data science, and applied data science, amongst others.

    Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our team of skilled teaching assistants and subject matter experts is committed to guiding you to successfully master the data science course on your first try. These professionals are experts in the field of data science and enhance your learning journey by supporting you with class onboarding, project mentoring, and job guidance.

    These experts are available during business hours; they are here to respond to your inquiries and aid you in finishing your data science course.

  • What is covered under the 24/7 support promise of this data science course?

    Our support is committed to assisting you through email, chat, calls, and community forums, 24/7. On-demand support is also available to guide you through the data science course. Once you finish this data science course, you will gain lifelong access to our community forum, which will help you navigate the field of data science and establish yourself as a successful data scientist.

Data Scientist Course in Houston

Houston is also known as the H-Town of Texas. It is the largest city in Texas and the fourth-largest city in the United States, with an estimated population of 2,320,268 in 2019. Houston is the seat of Harris County situated in Southeast Texas near Galveston Bay and the Gulf of Mexico. Huston experiences a humid subtropical climate with tropical influences.

Houston's economy is booming, its median household income, 2015-2019, is $52,338, and the per capita income of Houston in the past 12 months, 2015-2019, is $32,521. Houston has a total area of 1,651 km2 and mostly was built on forested land, marshes, or swamps. All are still visible in the surrounding areas. Houston is a flat, marshy area where an extensive drainage system has built. The adjoining prairie land drains into the city, which is prone to flooding.

Houston is the fourth largest Southeast Texas city in the United States. It is also the home of the famous Space Centre. There is no place for boredom in Houston as it has dining, shopping, unique attractions, and fun experiences. In Houston, there is no shortage of things to do. Some of the destinations to visit while in Houston are:

  1. Houston museum of natural science general admission
  2. Minute maid park
  3. Museum of fine arts, Houston
  4. Children’s museum Houston
  5. Houston zoo
  6. Space Center Houston
  7. The Galleria
  8. Cockrell butterfly center
  9. Toyota center

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