Friday, September 8, 2017

Raaz Bhuiyan

Complete Data Science Training with Python for Data Analysis - Udemy $10 Coupon

Complete Data Science Training with Python for Data Analysis - Udemy $10 Coupon

Udemy $10 Coupon for Complete Course to Practical Data Science with Python - Learn Statistics, Visualization, Machine Learning & More

With so many Python based Data Science & Machine Learning courses around, why should you take this course?

As the title name suggests- this Python Data Science course your complete guide to practical data science using Python. This means, this course covers ALL the aspects of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge –and boost your career to the next level.

THIS IS a PROMISE from the Course Instructor TO YOU -COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE

What you will learn from this Python Data Science course ?
Install Anaconda and work within the iPytjhon/Jupyter environment, a powerful framework for data science analysis
Become proficient in the use of thee most common Python data science packages including Numpy, Pandas, Scikit and Matplotlib
Be able to read in data from different sources(including webpage data) and clean the data
Carry out data exploratory and pre-processing tasks such as tabulation, pivoting and data summarizing in Python
Become proficient in working with real life data collected from different sources
Carry out data visualization and understand which techniques to apply when
Carry out the most common statistical data analysis techniques in Python including t-tests and linear regersiion
Understand the difference between machine learning and statistical data analysis
Implement different unsupervised learning techniques on real life data
Implement supervised learning (both in form of classification and regression) techniques on real data
Evaluate the accuracy and generality of machine learning models
Build basic neural networks and deep learning learning algorithms
Use the powerful H2o framework for implementing deep neural networks

Udemy Coupon :https://www.udemy.com/complete-data-science-training-with-python-for-data-analysis/?couponCode=PYTHON_DS10


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