Data Analytics Real World Projects using Python
Start your Data Analytics Career with Python by solving Real-world case-studies ! Improve your Data Science skills !
- Description
- Curriculum
- FAQ
- Reviews
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.
Project 1: Job Market (Naukri.com) Data Analysis
Project 2: Russian Tweets Data Analysis
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4
Introduction to Data & Business Problem ! -
5
Datasets & resources -
6
Understand high-level Overview of Real-World
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7
Understanding your features more..
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8
Lets clean Payrate feature
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9
Other ways to clean Payrate feature
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10
Perform Feature Engineering on Payrate feature
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11
Lets perform Data cleaning on experience feature..
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12
Lets perform featurization on experience feature..
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13
Perform Feature Engineering On postdate feature..
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14
Prepare Job_location feature
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15
Lets make our data ready.
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16
Lets perform Descriptive statistics on Data..
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17
What are different types of Analysis?
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18
Lets Perform bi-variate analysis
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19
How to Automate your Code !
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20
How to make your code readible using DOCSTRING !
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21
Perform In-Depth Analysis on Data !
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22
Analyse relationship between data !
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23
What are Top rated skills ?
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24
Analysing available position in the industry.
Project 3: Super-Market Sales Data Analysis
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25
Datasets & Resources
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26
Understanding High-level Overview of data !
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27
Understand Trend of data !
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28
Preparing your Data For analysis -Part 1
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29
Preparing your Data For analysis -Part 2
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30
Preparing your Data For analysis -Part 3
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31
Analyse Whether tweets impact the way of the US elections or not !
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32
Analysing the percentage change in tweet counts
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33
Understand your Text feature well..
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34
How to Remove Re-tweet mentions from data.
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35
Remove Hyper-links from data
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36
Remove Hashtags from data..
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37
Remove User-mentions from data..
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38
How to extract user-mentions from data !
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39
How to extract hashtags from Data !
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course available for 4 days
30-Day Money-Back Guarantee
Course details
Video
8 hours
Lectures
3
Certificate of Completion
Full lifetime access
Access on mobile and TV
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