Gain insights into conducting meaningful data analysis in Python without prior programming experience. Discover Python fundamentals, data preprocessing, EDA, and predictive analytics for solving business problems.

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Python3

Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.

This hands-on introductory Data Science course is aimed at professionals and students who don't have any experience with programming. It will help you advance your career by preparing you to conduct meaningful data analysis in Python on any dataset — large or small.

You’ll begin with the fundamentals of Python, with focus on CSV files in Python, covering concepts like data preprocessing and Exploratory Data Analysis (EDA). In the second half, you'll focus on predictive and inferential analysis using statistical and machine learning techniques, and learn how these techniques can help solve business problems.

Data Science for Non-Programmers

Python is one of the most popular languages. It is being regarded as the language of Data Science these days. It has overtaken other languages and tools such as *R*, *SAS*, *Excel*, and *RapidMiner*. So, what makes it so popular?

* **General-purpose language**: It is a general-purpose language and is lightweight and fast. Therefore, it can be used for many different purposes.

* **Support for Data Science**: Python was not built for Data Science but its general-purpose nature and the support of the community in providing third-party tools like *Numpy*, *Pandas*, *matplotlib*, and *Scipy* has made it the most popular in data science. 


* **Flat learning curve**: Python has a very simple and easy to learn syntax and programming requirements which make it a popular choice for people who are not programmers. It is known for its usability.  

* **Large active community**: Python has a very big active community of users. If someone faces an issue while working, there is a high probability that there will be solutions for it easily available on the Internet.

This lesson will elaborate on why Python is being used for Data Science and compare it with the most widely used tool, Excel. 

Python for Data Science

This lesson will elaborate on why Python is being used for Data Science and compare it with the most widely used tool, Excel.

What is Data Science

Python Basics

Handling Tabular Data in Python

Data Cleaning

Exploratory Data Analysis

Statistical Inference

Predictive Models

Machine Learning

Python for Data Science

Python as a tool for Data Science