Course Description

Data Scientist is one of the most amazing career options that offer high salaries, immense job satisfaction, and astonishing growth opportunities. Further, this profession offers an amazing job satisfaction rating of 4.4 out of 5. As per the survey by Harvard Business Review, Data Scientist is the most desirable profession of the 21st century. In this course, we will work on your core skills like a python programming language, frameworks for data science processes, Machine learning, and data science projects, hassle-free online practice of data preprocessing techniques, and a lot more.

Technologies Covered

Python programming language: It is an interpreted high-level programming language used for web development, machine learning, AI, ML, and a lot more. It provides a clear approach to programmers to write a clear and logical approach.

NumPy: it is a python library that consists of the multidimensional array and a collection of mathematical functions to operate on this array

Pandas is a software library used for Data Analysis and manipulation. It offers operations and data structure and operations for manipulating time series and numerical tables.

Matplotlib is a python library that makes matplotlib work like MATLAB. It provides an object-oriented API for inculcating plots into the application using GUI.

Plotly is an open-source plotting library that supports a wide range of scientific, financial, and geographical use cases.

SciKit-Learn is a Machine Learning library for the Python programming language. It features various regression, classification, and clustering algorithms.