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:
Project Capstone:
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.
End-of-Course Projects:
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
Domain: E-commerce
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
Domain: Telecommunications
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
Domain: Automobile
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
Domain: Retail
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
Domain: Entertainment
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
Domain: Geopolitical
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
Domain: Retail
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
Domain: Banking
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
Domain: Healthcare
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
Domain: Retail
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:
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.
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.