This is a complete Data Science bootcamp specialization training course from VPS Solutions that provides you detailed learning in data science, data analytics, project life cycle, data acquisition, analysis, statistical methods and machine learning. This is the most comprehensive Data Science course available, covering all steps of the Data Science process from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics and Machine Learning models, using the most in-demand tools like R, Python, Tableau. It will enable you to master all three elements of Data Science – Statistics, Tools, and Business Knowledge.
Become an expert in data analytics using the Python and R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the Python and R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.
VPS Solutions’s Data Scientist Courses will prepare you for the job role of a data scientist and will help you gain data scientist skillset by learning data science using analytical tools like Python and R. This data scientist course will help you master analytical techniques like data exploration, data visualization and various predictive analytic techniques by implementing real-life, industry-oriented data science projects using Python data science programming language.
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R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.
With over 6 million users, the open source Anaconda is the fastest and easiest way to do Python and R data science and machine learning on Linux, Windows, and Mac OS X. It’s the industry standard for developing, testing, and training on a single machine.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
Get to work on a real-time project that demonstrates your understanding of the course agenda.
At the end of the course there will be a quiz and project assignments once you complete them you will be awarded with VPS Solutions Course Completion certificate.