What you would learn in Data science ,Analytics & AI Real world Project using Python course?
This is the first course that gives hands-on data Science, Analytics & AIReal world Projects using Python.
This is a hands-on course that I would have liked to have had when I first started to study Data Science.
It is focused on understanding the essential theories and programming abilities required for Data Scientists. Data Scientist, However, the most important thing is that it includes Practical Case Studies covering numerous business issues commonly encountered with Data Scientists on the job.
It will focus on the following areas. The following topics will be covered:
All the basic things of Python
Loops and conditionals
Functions
Working with Text data by using Regular expressions
Numpy, seaborn, matplotlib, plotly, and pandas library
Other fancy libraries similar to fuzzy-wuzzy
Alongside Python programming, This course will also cover other concepts related to data analytics, like
"Data Scientist has become the top job in the US for the last four years running!" According to the Harvard Business Review & Glassdoor.
This course is designed to fill the information gaps that scare novices away and also use your knowledge of Data Science, Machine Learning, Data Analysis, Natural Language Processing to real-world business challenges.
Who is this course to be used for:
Beginning students of Data Science
Business Analysts or Data Analysts who would like to get more out of their data
College graduates who do not have the real-world experience
Engineers or Software Developers who want to begin learning Data Science
Anyone seeking to become more employable as a Data Scientist
Anyone interested in making use of Data to solve Real-World Problems
Course Content:
- From a bare beginning to hero through the entire Pipeline of Machine Learning/AI/Data Science starting with Data Collection to creating the Machine Learning Model
- Different Feature Engineering Techniques and how to implement it in Real-World
- How to tackle an issue in the real world.
- Find solutions to any issue at work, in your company, or job in real-time by using the power of Data Sceince & Machine Learning algorithms
- Case studies
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