By the end of this course, you'll be well-equipped to launch a rewarding career in data science.
DurationThe Data Science short course provides participants with a comprehensive introduction to the fundamental concepts and practical techniques used in data science. Beginning with basic statistical concepts and data manipulation in Python, participants will progress to exploratory data analysis, data visualization, and feature engineering.
The course covers essential machine learning algorithms, including regression, classification, and clustering techniques, as well as model evaluation and validation methods. Throughout the course, emphasis is placed on hands-on learning through practical exercises and real-world case studies, enabling participants to gain practical experience in applying data science techniques to solve business problems.
By the end of the course, participants will have acquired the skills and knowledge necessary to pursue further study or careers in the field of data science.
Course Duration: 6 Months Certification Course (4 Months Live Sessions and 2 Months Internship)
Tools Covered: Python, Power BI, Excel, NumPy, Pandas, Scipy, Seaborn, MySQL, & more
Smartzett Academy recognizes the importance of well-rounded development. We offer a variety of short-term courses that equip students and professionals with in-demand skills.
If your dream is to study and work abroad, or you're looking to upskill for a global job market — Smartzett Academy provides the right tools to achieve your goals.
We achieve this by providing comprehensive guidance and support for those seeking to build successful international careers. This includes offering a diverse range of educational programs, personalized support services, and access to a network of over 700 universities worldwide. IATA, AI-powered courses such as Data Science, Cyber Security, Overseas education etc.
This is a comprehensive training that covers all aspects of becoming a Data Science specialist by understanding the basics of Machine Learning, Statistics, R and Python for Machine Learning and initial AI.
The Deep Learning with Python course in Dubai covers the basics of Deep Learning, such as gradients, forward propagation, loss functions, and its implementation using Python libraries.
This training will provide you with an opportunity to learn about designing, developing and deploying Data Science and explore the applications of Big Data in the real world.Â
What do self-driving cars, face recognition, web search, industrial robots, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).
This is a comprehensive foundation program by Ambeone to learn Data Science and obtain solid information about statistical concepts covering descriptive, inferential, and predictive statistics as well as advanced big data analytics technique
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