Upon completion of this Data Scientist course, you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify for your skills and assert your Data Science expertise. You can also avail the following benefits as part of this Data Science Course Online program
- Masterclasses by IBM experts
- Ask Me Anything sessions with IBM leadership
- Exclusive Hackathons conducted by IBM
- Industry-recognized Data Scientist Master's certificate from Simplileari
Scientist is one of the hottest professions of this year. The United States Bureau of Labor Statistics sees unprecedented growth in the field of data science and predicts 11.5 million job openings in 2026 rising at an annual growth rate of 28%. Simplilearn's Data Science certification course co-developed with IBM encourages you to master job-critical skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, recommendation engine, supervised and unsupervised learning and much more.
This Data Scientist course offers a comprehensive curriculum combining live-online instructor-led classes and self-paced learning videos co-developed with IBM. This Data Science certification training concludes with a Capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learnt over the Data Scientist course of the program. The skills learnt in this Data Scientist course will help prepare you for the role of a Data Scientist.
1. AICTE (All India Council for Technical Education) for self-paced and international courses
3. UGC (University Grants Commission) for non-technical post-graduation education
What projects are included in this Data Science course?
This Data Science certification program includes 25+ industry-relevant projects from various domains to help you master concepts of Data Science. A few of the projects that you will be working on are mentioned below:
Capstone Project:
In this Data Science Course, You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem leveraging the skills and technologies learned throughout the Data Science Course Online program. The capstone project will cover all the key aspects of data extraction, cleaning, and visualization to build and tune data models. You also get the option of choosing the domain/industry dataset you want to work on from the options available.After successful submission of the project, you will be awarded a capstone certificate for Data science Training that can be showcased to potential employers as a testament to your learning.
Course End 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
Projects are as follows:
BUILDING USER BASED RECOMMENDATION MODEL FOR AMAZON
Domain: E-commerce
The dataset provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews dataset and build a machine learning recommendation algorithm that provides the ratings for each of the users.
COMCAST TELECOM CUSTOMER COMPLAINTS
Domain: Telecommunications
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve.Utilise the existing database of customer complaints as a repository to improve customer satisfaction.
MERCEDES-BENZ GREENER MANUFACTURING
Domain: Automobile
Reduce the time a Mercedes-Benz spends on the test bench. Work with a data set representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.
What are the learning objectives of this Data Science course?
What projects are included in this Data Science course?
This Data Science certification program includes 25+ industry-relevant projects from various domains to help you master concepts of Data Science. A few of the projects that you will be working on are mentioned below:
Capstone Project:
In this Data Science Course, You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem leveraging the skills and technologies learned throughout the Data Science Course Online program. The capstone project will cover all the key aspects of data extraction, cleaning, and visualization to build and tune data models. You also get the option of choosing the domain/industry dataset you want to work on from the options available.
After successful submission of the project, you will be awarded a capstone certificate for Data science Training that can be showcased to potential employers as a testament to your learning.
Course End 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
Projects are as follows:
BUILDING USER BASED RECOMMENDATION MODEL FOR AMAZON
Domain: E-commerce
The dataset provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews dataset and build a machine learning recommendation algorithm that provides the ratings for each of the users.
COMCAST TELECOM CUSTOMER COMPLAINTS
Domain: Telecommunications
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve.Utilise the existing database of customer complaints as a repository to improve customer satisfaction.
Reduce the time a Mercedes-Benz spends on the test bench. Work with a data set representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.
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