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:
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
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:
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
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
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.
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.
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
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.
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.
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.
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.
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:
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:
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 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.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Kickstart your learning of Python for Data Science with this introductory course and familiarize yourself with programming, tastefully crafted by IBM.
This Data Science with Python certification course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science certification 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 Data Scientist course is comprehensive, and this certificate demonstrates that you have made significant progress in mastering the area.
Working on projects, simulations, and case studies has given you the knowledge and Data Science abilities to put you ahead of the competition.
Tell your friends and coworkers about your Data Science certification by posting it on LinkedIn, Twitter, and Facebook, or boost your resume.
Simplilearn is the best online platform. I have completed Data Scientist certification from here. The trainers are very knowledgeable. It has a well-organized course. The method of presentation is really commendable. Kudos to Simplilearn. It's definitely going to be a long journey for Simplilearn.
"I am so happy to be a part of such a fantastic one-year Data Scientist Master's program, which I managed to complete in 8 months. The course gave me so much clarity about what all is required to excel in the Data field. All the hard work and late-night project work finally paid off. "
Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the certification, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.
The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.
If you're a novice or intermediate in Data Science, you'll need to master many ideas. A Data Science course is a six to twelve-month training program led by industry specialists to assist applicants in developing a solid foundation in the discipline. Our online Data Science certification course incorporates virtual laboratories, industrial projects, interactive quizzes, and practice examinations in addition to the academic content, enhancing your learning experience.
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.
As a part of this Data Science training in Houston, in collaboration with IBM, you will receive the following:
You can enroll in this Data Science training in Houston on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
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.
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.
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.
Data science is a vast topic that entails working with massive amounts of data to find hidden trends and patterns and extract useful information to help decision-making. Companies employ various data science tools and methodologies to develop predictive models as a service as they collect vast volumes of data. Data Science courses from Simplilearn will help you learn all the ideas from the ground up.
A data scientist collects, cleans, analyses, and visualizes enormous datasets to derive relevant findings and present them to executives. The data is gathered from numerous sources, transformed into an analysis-ready format, and fed into an analytics system, where it is statistically analyzed for actionable insights.
A question that I often hear from clients and colleagues is, "Why should I get a Data Science certification?" That is a fair question for most other areas of study and business. In areas such as finance or engineering, there are far more important accreditations you could and should achieve before “hanging your shingle” or trying to retool your skill set or career.
Data science is a broad discipline with a few accredited certification programs. However, many of those programs are cost-prohibitive.
“There are at least 50 Data Science certification programs by universities worldwide offering degrees and diplomas in this discipline,” writes data science blogger Zeeshan Usman. “It costs from $50,000 to $270,000 and takes one to four years of your life.”
And although somewhat new in the nomenclature, data science encompasses many skills that professionals may already have acquired through work or educational experience, such as:
Data scientists also need to understand and be exposed to reproducibility, decision-making, and working with stakeholders and executives. So attaining a second (or third) degree may not be the best option for professionals looking to break into data science. Yet to be successful, they still need to communicate their experience, skills, and acquired knowledge to prospective employers.
Put yourself in the position of a hiring manager; say her name is Paula. Paula has a couple of full-time openings for a Data Scientist. She has done a lot of research and has decided to hire at an entry level. The person she hires will need to work with her and her staff of data scientists, business analysts, data analysts, and business intelligence developers.
She has a stack of resumes to read through, and she has several questions that need to be answered before setting up phone interviews. However, Paula knows that curriculum vitae (CV) often does not align with the skills and experience needed for a Data Scientist position. She may see many CVs from college graduates. She may see many resumes from men and women with several years of work experience but without any practical data science experience. But since this is an entry-level position, she will likely not see any applicants with real knowledge in the field of data science.
So what should Paula focus on? How should she shortlist applicants for the phone interview? How can Paula know which of the applicants has a real, proven commitment to becoming a Data Scientist? She may focus on the resumes that list Data Science certifications and any pertinent business experience! And if those certification programs have compulsory projects to complete, that’s even better. You can begin to build your portfolio of data science projects before ever landing a job.
Data science is a fast-growing field. According to an article by Forbes, IBM predicts the demand for data scientists will grow by over 25 percent by 2020. Budding Data Scientists need to get their resumes and CVs out there as soon as possible, but they still need to gain valuable experience with those data science skills mentioned above. Data Science certifications are the quickest way to learn and hone the skills and techniques necessary to land that first data science job.
Furthermore, Data Science certifications allow students to learn and hone skills that won’t normally be acquired through work experiences, such as exploratory analysis skills, visualization skills, and data mining/machine learning algorithms.
So get your certifications in R, Python, and SQL. Or learn Hadoop or Apache Spark. Take some statistics courses. Practice everything you learn every day.
Professionals who do not have any prior knowledge of the field can easily begin with this Data Science certification training course as you’ll gain a thorough knowledge of the basic concepts as well.
Yes, this Data Science course 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 Data Science certification course.
The Data Science course can be completed in around six months if you dedicate a few hours daily to learning.
Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course.
This Data Science certification training will familiarize you with programming languages like Python, R, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.
After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.
Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.
Data science is a vast field and people cannot gain expertise in it within six months or a year. Learning data science requires specialized technical skills along with knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all of the relevant concepts from scratch, so you will find it easy to put your new skills to use.
Simplilearn’s Data Science course is unique because of the following major features:
Following are the list of courses for which you will get IBM certificates:
The course completion certificate received after completing this Data Science course does not expire.
Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.
|Data Science with Python||
|85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project|
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
|Deep Learning with Keras and TensorFlow||
Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
Data Science Capstone Project
Attendance of 1 Live Virtual Classroom and successful completion of the capstone project
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. 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.
Our teaching assistants are a dedicated team of subject matter experts to help you get certified in Data Science on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Science course with us.
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:
363 N Sam Houston Pkwy E, Suite 1100 Houston, TX 77060 United States