Python for Data Science Training Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science.
The Data Science with Python training course will give you a detailed overview on developing machine learning using python covering the topics like regression, Naive Bayes, Clustering, tensor flow etc. The Data Science with Python course has been designed to provide in-depth knowledge of the various libraries and packages that are required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The data science with python course is based on the live projects, demonstrations, assignments, and the case studies to provide a hands-on as well as practical experience to the aspirants. Moreover, the course insights on PROC SQL and other statistical procedures such as: PROC MEANS, PROC FREQ, etc. along with the advanced analytics techniques to have a clear vision of decision tree, regression and clustering.
BIT’s Data Science with Python gives you broad exposure to key concepts and tools from Python, Machine Learning, and more. Hands-on labs and project work in this Data Science certification program bring the concepts to life with our trainers and teaching assistants to guide you along the way. Data Science is one the hottest careers of the 21st century with an average salary of 120,000 USD per annum. Data proficiency is as important as computer proficiency was 20 years back. Huge investments in analytics by top companies such as Google, Facebook and Amazon are creating millions of jobs. This full course on data science gives you an in-depth understanding of the programming and statistics basics that are required to build a strong foundation and start your journey towards becoming a data scientist. The course explains the basics of Python programming and the various packages required for data science. It also covers statistical distributions and uni variate, bi variate and multivariate statistics. You will then learn a fundamental data science technique called regression. You will be introduced to various types of regression and understand how to solve business problems using these techniques. The entire course is experiential and hands-on and involves solving real-world problems.