Description

Complete Python Data Science Reference: Statistics, Visualization, Machine Learning, and More

THIS IS A COMPLETE PYTHON DATA SCIENCE TRAINING FOR DATA ANALYSIS:

It’s a comprehensive 12-hour Python Data Science Bootcamp that will teach you statistical modeling, data visualization, machine learning, and basic deep learning in Python!

THESE ARE THE REASONS WHY YOU SHOULD TAKE THIS COURSE:

First and foremost, this course provides a comprehensive approach to practical data science using Python…

That is, this course covers EVERY facet of actual data science, and if you take it alone, you can avoid taking other courses or purchasing books on Python-based data science.

Companies all around the world use Python to sift through the deluge of information at their disposal in this age of big data. By storing, filtering, managing, and manipulating data with Python, you may provide your firm a competitive advantage and advance your career!

THIS IS MY PROMISE TO YOU:

COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!

But first and foremost,

MINERVA SINGH is an MPhil (Geography and Environment) graduate of Oxford University. I recently completed my PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of expertise evaluating real-world data from various sources using data science approaches and publishing in international peer-reviewed journals.

During my study, I discovered that practically all Python data science courses and books available do not account for the multidimensional structure of the issue and utilize data science and machine learning interchangeably…

As a result, the learner has an imperfect understanding of the subject. This course will provide you with a solid foundation in all elements of data science, including statistical modeling, visualization, and machine learning.

Unlike other Python educators, I go deeply into Python’s statistical modeling tools and provide you with a one-of-a-kind foundation in Python Data Science!

You will go from simple visualizations and data explorations through statistical analysis, machine learning, and eventually the implementation of simple deep learning-based models in Python.

GET ACCESS TO 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING):

• A thorough introduction to Python Data Science with Anaconda, a powerful Python-driven data science system.
• Getting Started with Jupyter Notebooks for Implementing Data Science Techniques in Python • A thorough presentation on basic analytical tools such as Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, and so on.
• Pandas Data Structures and Reading, including CSV, Excel, JSON, and HTML data; • How to Pre-Process and “Wrangle” your Python data by eliminating NAs/No data, managing conditional data, grouping by attributes, and so on.
• Producing data visualizations such as histograms, boxplots, scatterplots, bar plots, pie/line charts, and others!
• Statistical analysis, statistical inference, and variable relationships
• Machine Learning, Supervised Learning, and Unsupervised Learning in Python

This course will give you the keys to the Python Data Science kingdom!

NO PRIOR KNOWLEDGE OF PYTHON OR STATISTICS/MACHINE LEARNING IS REQUIRED:

You’ll begin by learning the most important Python Data Science fundamentals and methods…

I utilize simple, hands-on ways to simplify and address even the most challenging Python subjects.

My course will assist you in implementing the strategies using real data acquired from various sources. Many courses employ fictitious data, which does not prepare students to use Python-based data science in the real world.

After completing this course, you will be able to deal with actual data in Python using programs such as Numpy, Pandas, and Matplotlib.

Deep subjects such as statistical modeling in Python’s Statsmodels module and the distinction between statistics and machine learning will also be covered (including hands-on techniques).

I’ll even show you how to use the amazing H2o framework to learn about deep learning and neural networks!

You’ll know it all with our All-In-One Python Data Science course: visualization, statistics, machine learning, data mining, and deep learning!

The course’s fundamental aim is to guarantee that you can use Python-based data science to real-world data and put it into practice right away. Begin analyzing data for your own projects, regardless of skill level, and IMPRESS potential employers with real-world instances of your data science expertise.

THIS COURSE WILL DO THE FOLLOWING FOR YOU:

This course is your one-time opportunity to acquire the knowledge of statistical data analysis skills that I obtained through rigorous training at two of the world’s best universities, the reading of numerous books, and the publication of statistically rich papers in renowned international journals such as PLOS One.

This program will:

(a) Introduce students with no prior Python or statistics knowledge to some of the most prevalent advanced data science approaches utilizing the powerful Python-based Jupyter notebooks.

(b) Teach students how to utilize Python for various statistical data analysis and visualization activities in data modeling.

(c) Introduce students to some of the most significant statistical and machine learning principles in a practical setting, so that they may apply these ideas to real data analysis and interpretation.

(d) Students will get a solid understanding of some of the most significant data science methodologies.

(e) Students will be able to choose and evaluate which data science methodologies are best suited to answering their research questions and applicable to their data.

It is a hands-on, practical course in which we will spend some time dealing with theoretical issues linked to data science. However, the majority of the course will concentrate on applying various methodologies to real-world data and interpreting the findings. Each video will teach you a new concept or method that you can use to your own projects.

JOIN THE COURSE RIGHT NOW!

#python #anaconda #analytics #data #analysis

Who is this course aimed at?
Anyone Interested In Learning How To Implement Machine Learning Algorithms Anyone Who Wants To Learn Practical Data Science Using Python People who want to get started with deep learning in Python People who want to work with real-world data in Python Anyone with prior knowledge of Python who wants to branch out into data analysis
Anyone interested in learning how to use iPython for exploratory data analysis, statistical modeling, and visualizations.