Key Features:

• 40 hours of instructor-led training
• 24 hours of self-paced learning videos
• 4 real-life industry-based projects in the domains of telecom, stock market, etc.
• Interactive learning with Jupyter notebooks labs
• Includes concepts of web scraping
• Includes a free Python basics course

What are the course objectives?

This course will enable you to:

• Gain an in-depth understanding of data science process, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
• Install the required Python environment and other auxiliary tools and libraries
• Understand the essential concepts of Python programming like data types, tuples, lists, dicts, basic operators, and functions.
• Perform high-level mathematical computing using NumPy package and its large library of mathematical functions
• Perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.
• Perform data analysis and manipulation using data structures and tools provided in Pandas package
• Gain expertise in machine learning using the Scikit-Learn package
• Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
• Use Scikit-Learn package for natural language processing
• Use matplotlib library of Python for data visualization
• Extract useful data from websites by performing web scrapping using Python
• Integrate Python with Hadoop, Spark, and MapReduce

Who should take this course?

There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:

• Analytics professionals who want to work with Python
• Software professionals looking for a career switch in the field of analytics
• IT professionals  interested in pursuing a career in analytics
• Graduates looking to build a career in Analytics and Data Science
• Experienced professionals who would like to harness data science in their fields
• Anyone with a genuine interest in the field of Data Science

Prerequisites: There are no prerequisites for this course. The Python basics course included with this course provides an additional coding guidance.