Complete Data Science Training with Python for Data Analysis

Sections of Python Data Science Included in the Course

Our comprehensive course addresses all aspects of Python Data Science.

• We will begin the course with all the necessary basics and techniques of Python Data Science.
• Easy to understand methods that will simplify even the most intricate concepts of Python.
• Introduction to Python Data Science and Anaconda, a powerful Python-driven framework for data science.
• Fundamentals of Jupyter notebooks to implement the techniques in Python.
• Detailed presentation of the basic analytical tools including Operations, Numpy arrays, Arithmetic, Matrices, Broadcasting, Equation-solving.
• Data Structures & reading in Pandas along with Excel, HTML, CSV, JSON.
• Removing NAs/No data, grouping by attributes, and handling conditional data by learning to pre-process and Wrangle Python data.
• How to create data visualisations like boxplots, barplots, histograms, scatterplots, pie charts, line charts, and so much more.
• Learning the relationship between variables, statistical analysis, and statistical interference.
• Machine Learning, supervised/Unsupervised Learning in Python.
• Discover how to create artificial neural networks and in-depth learning structures.
• Establish an understanding of the entire Python Data Science world.
• No requirement for prior knowledge of Python or Machine Learning.

How is This Course Helpful?

This course will prove to be highly beneficial for you. Usually, courses use made-up data, which is not valuable as it does not allow the students to implement Python-based Data Science in real life. You will learn to implement the methods using real-life data achieved from various sources.

Once you finish the course, you will gain competence with using packages like Numpy, Matplotlib, and Pandas. This will enable you to work with actual data using Python.

You will also learn deep and complex concepts such as statistical modelling in Python’s Statsmodels package. Along with that, you will have a full grasp of the difference between statistics and machine learning.

Our instructors will introduce you to neural networks and deep learning via a powerful H2o framework. With this comprehensive course, you will be a pro at stats, data mining, visualisation, machine learning, and deep learning.

The primary motivator for you to join this course is that you will be able to apply Python-based Data Science to real data and integrate it into your practice. You can even begin analysing data for your own projects according to your skillset and leave a strong impression on your employers with your excellence.

Don’t Miss Out & Enrol Now!

Truthfully, this course is your best shot to acquire statistical data analysis skills from the experts.

Here’s what this course will do for you:

• Allow you an opportunity to enrol without requiring any existing knowledge of Python or stats.
• Begin from a basic level and take you to advanced data science techniques using Jupyter notebooks.
• Ensure a firm grasp of Python to perform various visualisation and statistical data analysis tasks for data modelling.
• Introduce the essential machine learning and statistical concepts for practical interpretation and data analysis.
• Provide a strong background in the most critical data science techniques.
• Teach you how to decide the most suited data science techniques to answer your research queries and interpret the results.

All in all, it’s a practical course where you will spend some time learning the theoretical concepts of data science. Once you develop the fundamental concepts, you will implement different techniques on actual data and interpret the results.

After each lesson, you will surely learn something new and apply that knowledge to your projects!

So, what are you waiting for? Don’t miss the golden opportunity and apply now!