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LEARNING PATH: Python: Complete Data Analysis With Python

Fast-track your data analysis journey with Python using its powerful libraries


Python is undoubtedly one of the most popular programming languages that’s being extensively used in the field of data science. There is a rapid increase in the number of data and so for the demand of experts who can analyze these big chunk of data. So if you have basic Python knowledge and want to explore powerful data analysis techniques, then go for this Learning Path.

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.  The highlights of this Learning Path are:

  • Get solutions to your common and not-so-common data science problems
  • Highly practical, real world examples that make data science your comfort zone
  • Understand why is Mastering python data analysis with Pandas really useful

Let’s take a look at your learning journey. You will be introduced to the field of data science using Python tools to manage and analyze data. You will learn some of the fundamental tools of the trade and apply them to real data problems. Along the way, the Learning Path discusses the use of Python stack for data analysis and scientific computing, and expands on concepts of data acquisition, data cleaning, data analysis, and machine learning. You will learn how to apply Pandas to important but simple financial tasks such as modeling portfolios, calculating optimal portfolios based upon risk, and much more.

On completion of this Learning Path, you will become an expert in analyzing your data efficiently using Python. 

Meet Your Expert: 

We have the best works of the following esteemed authors to ensure that your learning journey is smooth:

  • Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a Ph.D. in information retrieval from the Queen Mary University of London. He specializes in text analytics and search applications, and over the years, he has enjoyed working on a variety of information management and data science problems.
  • Prabhat Ranjan has extensive industry experience in Python, R, and machine learning. He has a passion for using Python, Pandas, and R for various new, real-time project scenarios. He is a passionate and experienced trainer when it comes to teaching concepts and advanced scenarios in Python, R, data science, and big data Hadoop. His teaching experience and strong industry expertise make him the best in this arena.

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