Course Introduction
Data Science is a practice of transforming data (structured or unstructured) into knowledge. This knowledge provides insights into your data. Data Science is an interdisciplinary field about scientific methods, processes and systems to extract knowledge. Python is one of the most popular language used by Data Scientists. Data Science with Python, you’ll learn about the practice of data science, the Python programming language, and how they can be used to transform data into actionable insight. In a present data driven economy, this combination of skills is in extremely high demand, as it is revolutionizing the world.
Python is extremely easy to learn data science language. Python has got the biggest user base of all data science languages. Python has edge over its close competitor in data engineering. So, once you are done with this course on data science you can expand into data engineering and then you could get into machine learning. The main libraries that you will learn are Numpy, pandas, plotly and SciPy
Python Programming Knowledge
Python Programmers or Software Developers who want to transition into the lucrative data science career path will learn a lot from this course
• How to setting up Jupyter notebook on local machine, a powerful framework for Data Science Analysis
• Python Data Science - Become proficient in using the most common Python Data Science packages including Numpy, Pandas & Matplotlib, plotly and SciPy
• Data Analysis Techniques - Extracting Data from Databases- through APIs and using Web Scraping (BeautifulSoup)
• Data Exploratory & Pre-processing tasks such As Tabulation, Pivoting & Data Summarizing in Python
• Data Visualization & Statistical Data Analysis Techniques In Python
Module 1: Introduction & Setting up Jupyter Notebook on Local Machine
Module 2: Extracting Data
Module 3: Numpy
Module 4: Pandas
Module 5: Data Wrangling with Pandas
Module 6: Matplotlib
Module 7: Exploratory Data Analysis
Module 8: Feature Engineering
Module 9: Geographical Plotting
Module 10: SageMaker Overview
Junior Data Analyst, Data Engineer, Data Scientist, Business Intelligence Data Analyst, Machine Learning Engineer, Machine Learning Scientist