Course Overview
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
Course Objectives
TThis comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
What You Will Learn
- Complete knowledge of Data Science.
- Learn to play with data and to extract key information using various Python functions and constructs.
- Use Plotly for interactive dynamic visualizations.
- Data analytics – Carry Out Data Exploratory & Pre-processing Tasks Such As Tabulation, Pivoting & Data Summarizing In Python.
- Evaluate The Accuracy & Generality Of Machine Learning Models.
- Learn essential tool for various types of analysis to get key insights from data and to make key decisions
- Learn to use The Most Common Python Data Science Packages Including NumPy, Pandas, Scikit, Matplotlib & Seaborn.
- Become Proficient In Working With Real-Life Data Collected From Different Sources.
- Build Basic Neural Networks & Deep Learning Algorithms.
Who Can Enroll?
- Professionals who aspire to build up their career or up-grade knowledge in Data Science.
- A good career choice for both new and experienced professionals.
- Those who have a genuine interest in the field of data science
- Students in UG/ PG Analytics Programs
- Marketing Managers
- Software Professionals
- Analytics Professionals
Prerequisites
- There are no prerequisites for the Data Science training course.
