What you'll learn

A 360 degree coverage of data analysis and data visualization

Python programming essentials for data analysis and data visualization

A lot of examples with real-life problem solving and a lot of python coding

Using numpy library to create and manipulate arrays

Working with various data formats using python

Using Jupyter and PyCharm Notebook Environment

Using the pandas module in python to create and structure data

Data visualizations using matplotlib in python

Statistics for data analysis and several models

Data distribution and statistical inference

Linear regression analysis wit python

Logistic regression analysis with python

Description

A career in data analysis or data visualization is something that many people are aspiring and preparing for. This course is designed for the enthusiasts to give a 360 degree coverage. The course will help people learn the essentials skills, as well help them solve complex business problems. For the enthusiasts who want to make it big into data science as a whole, this course is an ideal learning.

Spotle

Spotle is an AI-powered career platform where you are automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

Spotle as a company brings together a solid pool of machine learning, data science experts; The experts who have built the very complex Spotle Recommendation Ee that runs at the core of Spotle platform to match you to your most relevant career choices; The experts who are passionate about machine learning, data science; The experts who are keen on sharing their knowledge for the advancement of this field.

Spotle courses give you a unique opportunity to learn from and practice with the masters of the field of Data Science.

Who this course is for:

Anyone who want to learn and explore the world of data science and build a rewarding career.






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