Professional Digital Marketing Program
You’ll develop the cultural awareness and critical thinking skills you need to analyze and produce a broad range of discourse in a full spectrum of careers — and to make a difference in whatever you do.
- 2 Years / Onsite
- Intakes: Jan, Apr, Jun, Oct
Overview
Tesla DMI in Sri Lanka offers a cutting-edge Advance Data Science Program with Machine Learning, designed for individuals seeking to master the art and science of data analysis. This program covers the latest data science technologies and techniques, as well as best practices for success in this field.
The course curriculum covers a wide range of topics, including data analysis, machine learning, data visualization, and predictive modeling. Participants will have the opportunity to put their knowledge into practice through hands-on exercises and real-world projects, giving them valuable experience and exposure to the industry.
At Tesla DMI, the Advance Data Science Program with Machine Learning provides a practical learning experience, with a focus on real-world data science projects that allow participants to develop their skills and apply their knowledge in a professional setting. The course also includes workshops, discussions, and feedback sessions, giving participants the opportunity to receive constructive criticism and grow as data scientists.
Upon completion of the program, participants will receive a certificate of completion from Tesla DMI and will be well-equipped to succeed in a career in data science. Whether you are just starting out or looking to improve your existing skills, this course provides a comprehensive and practical learning experience. If you are passionate about data science and want to take your skills to the next level, the Advance Data Science Program with Machine Learning at Tesla DMI in Sri Lanka is the perfect choice for you.
Benefits
- Gain a comprehensive understanding of data science and machine learning, including data collection, preprocessing, exploratory data analysis (EDA), and predictive modeling.
- Learn how to use Python and its libraries, such as Pandas, Numpy, Matplotlib, and Seaborn, for data analysis and visualization.
- Acquire practical experience with machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, and more.
- Learn about deep learning and its applications in computer vision, natural language processing (NLP), and more.
- Develop the skills to implement machine learning models and interpret their results.
- Enhance your ability to analyze, interpret, and make decisions based on data.
Course Criteria
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Introduction to Data Science and Machine Learning
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Data Collection and Preprocessing
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Exploratory Data Analysis (EDA)
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Data Visualization with Python
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Predictive Modeling with Machine Learning
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Natural Language Processing (NLP)
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Deep Learning with TensorFlow and Keras
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Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
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Big Data Analytics with Apache Spark
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Capstone Project in Data Science and Machine Learning.
