Overview
This Data Science course, developed in collaboration with IBM, is tailored to elevate your career prospects by equipping you with the skills necessary to become a certified data scientist. The training encompasses crucial competencies such as Python, SQL, Excel, machine learning, Tableau, and generative AI. Participants will engage in real-world projects that utilise industry-standard tools, enhancing their practical understanding and application of data science principles.
Why Data Science at Simplilearn?Simplilearn's Data Science programme is highly regarded, having been ranked as the top Data Science course by Career Karma. The course benefits from a strong partnership with IBM, offering exclusive access to masterclasses, hackathons, and Ask-Me-Anything (AMA) sessions with industry leaders. This collaboration ensures that learners receive insights from top professionals, enhancing their learning experience. Furthermore, the curriculum is designed to be comprehensive, providing a robust foundation in data science concepts and applications.
Tuition Fee BreakdownThe tuition fee for the Data Science course is set at €1,299 for both international and national students. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe course is structured to cover a wide range of topics essential for aspiring data scientists:
- Programming Essentials: Introduction to Python and its applications in data science.
- Applied Data Science with Python: Tools and techniques for data analysis.
- Machine Learning: Comprehensive coverage of machine learning concepts and applications.
- Data Visualisation: Mastery of Tableau and Power BI for effective data presentation.
- Capstone Project: Hands-on experience through real-world data science projects.
Graduates of the Data Science programme can pursue various career paths, including roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. The demand for data science professionals is on the rise, with significant growth projected in the industry. Companies across diverse sectors, including IT, finance, and healthcare, are actively seeking qualified data scientists to leverage data-driven insights for better decision-making. Alumni of the programme have successfully transitioned into prominent roles, benefiting from the skills and knowledge gained during their studies.
Programme Structure
Courses included:
- Data Science
- Python
- Machine Learning
- Tableau
Key information
Duration
- Part-time
- 11 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Delivered
Campus Location
- San Francisco, United States
Disciplines
Data Science & Big Data View 192 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Learners need to possess an undergraduate degree or a high school diploma in any discipline, as may be prevalent and accepted in their respective country of residence and/or work.
Tuition Fees
-
International Applies to you
Applies to youNon-residents990 EUR / full≈ 990 EUR / full - Out-of-State990 EUR / full≈ 990 EUR / full
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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