Use Python numerical, machine learning and NLP libraries such as scikit-learn, NumPy, SciPy, Gensim and NLTK to mine datasets and predict patterns.
Build statistical models — classification and clustering — that generate usable information from raw data.
Master the basics of data science and machine learning and harness the power of data to forecast what’s next.
Request a Detailed SyllabusGet Syllabus
Have questions? We’ve got the answers. Get the details on how you can grow in this course.
Given the prevalence of technologies and the amount of data available in the online world about users, products, and the content that we generate, businesses can be making so much more well-informed decisions if this vast amount of data was more deeply analyzed through the use of data science. The data science course provides the tools, methods, and practical experience to enable you to make accurate predictions about data, which ultimately leads to better decision-making in business, and the use of smarter technology (think recommendation systems or targeted ads).
This course will provide you with technical skills in machine learning, algorithms, and data modeling which will allow you to make accurate predictions about your data. You will be creating your models using Python so you will gain a good grasp of this programming language. Furthermore, you will learn how to parse and clean your data which can take up to 70% of your time as a data scientist.
Individuals who have a strong interest in manipulating large data sets, finding patterns in data, and making predictions.
Prior experience in other Programming Languages such as C, C++, JAVA etc. will be useful.