Why Data Science With Python Is A Important Course

Data science is becoming essential for companies and businesses that want to make their policies more customer-oriented.

As data science can transform the raw data into useful visualized data that can be used to make products and policies for the organization, the need for data scientists is increasing.

And if you want to make a career in data science, then the data science with python course is perfect for you. As data science is a very wide field so combining Python with it will add value to your portfolio.

Course Overview

With this course, you can be master python skills with data science. In this course, you will learn from basics to advanced level skills of data science and Python.

The skills that you acquire from this course will make you ready for your team projects. So you can use the data to create smart business strategies and make the decision-making efficient.

In this course, you will learn Python, how to create powerful predictive models with the help of the data and advanced statistics, and improve the decision-making of your company. With this course, you can also analyze and visualize data with Pandas, Scikit and Matplotlib.

This course is for those who want to become professionals in data science, Python and want to work with huge datasets. Along with them, this course is for data analysts, researchers, economists, and software and data engineers willing to work in quantitative analysis too.

After the completion of the course, you will be able to deal with end–to–end data science processes and know how to derive useful information from data. This course will prepare you for your job roles and responsibilities and how you can work efficiently in the office environment.

Basically, this course is all about how you can change the huge chunk of raw data into insightful data and visualize it using Python in such a way that it can help you to add value to the decision-making process.

Course Content

This course will offer you everything that you need to start your data scientist career. Here you learn by doing experiments yourself. So our classes will not only provide theory lectures but also practical work.

All the practical work is distributed through the assignments, MCQs, and worksheets. The assignments you will be given are based on real-world problems so that you can acquire applicable skills which you can use in your career.

Your classes, sessions, and curriculum are designed by the best mentors who have been working in the field for years and sharing their experiences with their students. These mentors are well trained in their fields and have work experience across industries.

To make the classes more interactive, group discussions, question and answer segments, and tests are organized timely. To help you with the reading materials, we offer e-books, webinars, articles, tutorials, and interview questions.

Talking about the topics in the syllabus, you will start from the basics of data science and Python and then acquire advanced skills. You will be given an introduction to data science then master-level knowledge on Python.

Then you will proceed with probability and statistics, advanced statistics and predictive modeling I and II, time series forecasting, its data, tools and components, and at last capstone projects.

In data science and statistics, you will learn data values, data distribution, conditional probability, hypothesis training, analysis of variance, model building, linear regression, dimensionality reduction techniques, and advanced statistics.

With it, in Python, you will learn Python programming skills and importing datasets into Python, and many other things.

Prerequisite

There are no such prerequisites for this course, but basic knowledge of data science, statistics, probability, and Python, or any other programming skill will be advisable and helpful too.