Simplilearn and IBM have teamed together to provide learners with an integrated blended learning strategy to help them become data science specialists. This online Data Science course, developed in conjunction with IBM, will help you further your career in Data Science by providing world-class training and abilities. The system provides in-depth instruction on the most in-demand Data Science and Machine Learning abilities and hands-on experience with essential tools and technologies such as Python, R, Tableau, and Machine Learning ideas.
To fasttrack your career in Data Science to the next level and become industry-ready for top data jobs, dive deep into the complexities of data interpretation, master technologies like Machine Learning, and master powerful programming abilities.
You will receive IBM certificates for the IBM courses and Simplilearn certifications for all of the courses in the learning route after you complete this Data Science certification course. These credentials will attest to your abilities and prove your Data Science knowledge. As part of this online course, you may also make use of the following advantages:
One of the trendiest jobs this year is data science. The US Bureau of Labor Statistics expects 11.5 million job vacancies in data science by 2026, with a 28 percent annual growth rate. Statistics, hypothesis testing, data mining, decision trees, clustering, linear and logistic regression, data wrangling, data visualization, regression models, recommendation engines, supervised and unsupervised learning, and more are all covered in Simplilearn's Data Science certification course.
This Data Scientist course combines live-online instructor-led sessions with self-paced learning videos co-developed with IBM to provide a complete curriculum. This certification program finishes with a Capstone project meant to consolidate the learning by creating industry-relevant projects that incorporate all of the essential topics covered in the Data Science training curriculum. The skills you will study in this Data Science course will assist you in becoming a Data Scientist.
A Data Scientist is a high-ranking employee in any company. Data Scientist is ranked third among the 50 Best Jobs for 2022 by Glassdoor. Data Scientists are rare and in great demand in today's ever-changing industry. You must comprehend business challenges, establish data analysis methods, gather, cleanse, organize the relevant data, apply algorithms and techniques utilizing the appropriate tools, and offer data-backed recommendations as a Data Scientist.
This Data Science course will teach you how to:
This Data Science certification course includes more than 25 industry-relevant projects from diverse areas to help you learn Data Science topics. The following are some of the projects on which you will be working:
In this Data Science course, you will go through specialized mentor sessions to build a high-quality industry project, solving an industry-relevant problem using the skills and tools taught throughout the Data Science online course. To create and optimize data models, the capstone project will cover all of the main areas of data extraction, cleaning, and visualization. You may also select the domain/industry dataset you wish to work with from the available selections. After completing the project successfully, you will receive a Data science capstone certificate that you may exhibit to future employers as proof of your knowledge.
Projects that mimic real-world business problems to help apply the concepts learned during a specific course. Typically these projects take 3 - 4 hours to complete
The following are the projects
Case study 1: Developing A User-Based Recommender System For Amazon
Amazon consumers' movie reviews are included in the collection. Analyze the Amazon customer movie review information and create a machine learning recommendation system that delivers user ratings.
Case Study 2: Telecom Customer Complaints From Comcast
Comcast is a telecommunications firm based in the United States. The company has provided poor customer service. Despite frequent vows to reform, they continue to fall short. Improve customer experience by using the current database of consumer complaints as a repository.
Case Study 3: Greener Manufacturing By Mercedes-Benz
Spend less time on the test bench with a Mercedes-Benz. Predict the time it takes to pass testing using a data set reflecting various permutations of features in a Mercedes-Benz automobile. Optimal algorithms will speed up testing, resulting in lower carbon dioxide emissions without compromising Mercedes-Benz standards.
Case Study 4: Analysis Of Retail With Walmart
Walmart, one of the country's largest retailers, wants to forecast sales and demand reliably. Due to unanticipated demand, the company has a struggle and periodically runs out of goods. A machine learning method has been identified to be at the root of the problem. Create an ideal machine learning system that can effectively estimate demand while considering economic variables such as CPI.
Case Study 5: Case Study Of A Movie Lens
Apply the exploratory data analysis approach to your analysis. You must identify factors that influence a movie's ratings and develop a model to predict those ratings.
Case Study 6: Analysis Requests From Customer Service
Domain: Customer Service
Analyze data from 311 service requests in New York City. You'll use data wrangling techniques to decipher data patterns and generate visualizations to identify and prioritize complaints such as economic situations, such as the Consumer Price Index and the Unemployment Index.
Case Study 7: Comparative Study Of Countries
Using the example insurance data set and the world development indicators data collection, create a dashboard to compare key aspects of different nations.
Case Study 8: Restaurant Sales Performance Analysis
Create a dashboard displaying monthly sales performance by product segment and product category, allowing clients to see which features and types have met or surpassed their sales objectives and which haven't.
Case Study 9: Prediction Of Loan Demand-Based On Region
This project gives students an inside look at the banking industry. Learners must create a statistical model to anticipate the demand for loans in a specific location. To demonstrate the outcomes, students must complete an online dashboard that displays the strategy and its progress to all stakeholders.
Case Study 10: Model To Forecast Diabetic Patients
This model uses data sets to represent diabetes and was built in collaboration with NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases). This project aims to utilize the data sets to formulate a predictable model for diabetic patients.
Case Study 11: Retail Customer’s Segmentation
RFM analysis may be used to segment customers. The segments that result can be sorted from most valuable (highest recency, frequency, and value) to least helpful (lowest recency, frequency, and weight) (lowest recency, frequency, and value).
Experience, data science expertise, and the appropriate tools and technology are all required for the Data Science position. It is an excellent job option for both new and seasoned workers. The Data Science certification course is best suited for aspiring professionals with an analytical mindset from any educational background, such as:
Professionals who want to pass this Data Science certification course should have the following skills:
You will have the ability to achieve your ideal career in Data Science as a Simplilearn learner who completes the Data Science certification course. Data science graduates are well-suited for the following positions:
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.
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.
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.
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.
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.
Data scientists are in charge of analyzing vast volumes of data, visualizing it to uncover hidden trends and patterns, and producing actionable conclusions. These practical insights assist in resolving complicated business issues and developing smarter decisions. They use data science approaches to find discreet relationships in data, including exploratory data analysis, statistical modeling, and machine learning. This Data Science course can assist you in assuming all of these duties.
Data science comprises numerous abilities that professionals may already have earned via a job or educational experience, despite its new designation. That is a valid issue in most other academic and commercial fields. There are considerably more vital accreditations you could and should obtain before "hanging your shingle" or trying to reconfigure your set of skills or profession in fields like banking or technology. Data science is a large field with just a few certification programs. Many of these programs, however, are too expensive. If you want to work as a Data Scientist, it's the most excellent way to impress potential employers and demonstrate your knowledge.
Data scientists must also be familiar with and have experience in reproducibility, decision-making, and collaborating with stakeholders and executives. As a result, pursuing a second (or third) degree may not be ideal for professionals interested in breaking into data science. They must still express their experience, talents, and gained knowledge to prospective employers to be successful.
It would be best if you now had a good idea of what Data Science Certifications are and how they may help you advance in your profession. All you have to do now is check over all the different certificates and choose the one that would provide you with the most excellent benefits.
These Data Science courses 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. This Data Science certification training will make you learn R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem.
Becoming a Data Scientist isn’t easy for everyone; one needs to possess a number of technical skills so as to become eligible for this role. The top technical skills you will require are core mathematics, statistics, basic programming, machine learning, data wrangling, data visualization, and the ability to process large data sets. Our Data Science certification course can help you gain all these skills.
Data science is finding applications in almost all the major industrial sectors like healthcare, banking and finance, retail, automotive, marketing, manufacturing, and government agencies as well. So, this Data Science training is beneficial if you are stepping into any of these sectors for your professional career.
Data scientists are in high demand in large companies as well as startups. Some of the top firms include Microsoft, Oracle, Amazon, Google, Apple, Facebook, TCS, and IBM. Enrolling in a Data Science course will open your doors to opportunities available in all such companies.
Simplilearn’s Data Science certification course is designed by industry experts who are familiar with the varying learning needs of the students. They explain the concepts thoroughly and ensure that you become capable of applying them while working on industry projects. By completing the Data Scientist course, you will become more employable for a Data Scientist position.
Achieving a Data Science certification makes you eligible for many high-paying job roles. Data scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Architect are the top career options you can explore with a background in data science.
Data Scientist has become such an in-demand role that companies are ready to pay higher salaries to even entry-level professionals. However, one has to showcase their knowledge in data science and gain some industrial exposure. Simplilearn’s Data Science certification course imparts all the necessary data science skills to fresh graduates and makes them industry-ready by making them work on real-world projects.
Though our Data Science training is enough to help you learn all the concepts from scratch, you can also read some books for your reference. Here are the top data science books you can read:
With the growing demand for data scientists but a scarcity of talent, companies across the world 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):
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:
As a part of this Data Science online course, in collaboration with IBM, you will receive the following:
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
You can enroll in this Data Science certification training 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.
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.
Simplilearn offers multiple courses on Data Science and AI domain which are listed below:
Post Graduate Programs: