Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.92 GB
Genre: eLearning Video | Duration: 47 lectures (8 hour) | Language: English
Start your Data Analytics Career with Python by solving Real-world case-studies ! Improve your Data Science skills !
What you'll learn Homepage: https://www.udemy.com/course/data-analytics-real-world-case-studies-using-python/
Boost your resume by learning real-world skills
Get a job as a data Analyst/scientist with Python
Take your career to the next level
Use Python to solve real-world tasks
Course content
4 sections • 47 lectures • 8h 0m total length
Requirements
You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
Description
Can you start right now?
A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?"
The clear answer is: "No!
You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays
As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!
Why should you take this Course?
It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist
It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.
It gives you plenty of opportunities to practice and code on your own. Learning by doing.
In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion
Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
Who this course is for:
If u are Aspiring data scientists or even if u are a learner
People interested in Data Analytics & who want to take their carrier to next level
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