Master Data Science Prerequisites – Numpy – Pandas- Seaborn
No introductory skill level of Python programming required
Desire to learn!
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About the Instructor.
This course is led by Aditya Dhandi – an international trainer, consultant, and data analyst with over 100 000 enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, & Google Data Studio & his courses average 4+ stars out of 5.
He’s also the founder of the popular website, Jobshie.
Why Learn Data Science Prerequisites?
If you’ve spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you!
Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.
Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.
pandas is well suited for many different kinds of data:
- Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels
- Any other form of observational / statistical data sets. The data need not be labeled at all to be placed into a pandas data structure
Why Learn Numpy?
The central object in Numpy is the Numpy array, on which you can do various operations.
The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.
That means you can do vector and matrix operations like addition, subtraction, and multiplication.
The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.
Why Learn Seaborn Library?
“A picture is worth a thousand words”. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
This course is designed to teach analysts, students interested in data science, statisticians, and data scientists how to analyze real-world data by creating professional-looking charts and using numerical descriptive statistics techniques in Python 3.
We’ll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.
Video Lectures: Learn the best ways to learn Data Science Prerequisites Course Certificate: Complete the course and show off your skills with the course certificate.
Learn from experts: Your expert instructor will teach you Data Science Prerequisites skills you can apply immediately.
Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.
Use any Device: Join the course using any modern browser on your phone, tablet and computer.
Ask Question: Ask questions and share ideas with other students in the course community.
- High quality video lessons to build your knowledge and skills.
- Guided walk-throughs with techniques and tips.
- 14 pre-built dashboards you can use and customize.
- Practical exercises to apply your skills.
- Quizzes to reinforce learnings and test your knowledge.
- Private discussion area where you can ask questions.
- Course certificate for completing the lessons and assignment.
- Full access lets you review lessons whenever you need.
- Updates when lessons in the course are refreshed.
Jobshie Academy Reviews
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We help learners across the globe develop new skills and achieve their personal and professional goals. Browse learner reviews below to discover how people enjoy the online learning experience at Jobshie Academy.
“I have gained useful skills while learning this course. I can consider myself a data analysis specialist. Thank you”
by Joseph Israel
“I was a nice experience about this course as it introduces with many topics which are related to data analysis .”
by Sreeraj Mopkar
“very good explaination , bohot achhe se sab samajh aata hai …100% Understanding all concept very much….excellent explanation”
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“The course is very instructive and didactic, I liked it, it is all the information I need for my activities”
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“yeah it was such a great course, the teacher took time out to disect all angles of Excel, he touched all the essential parts, needed for our daily use of excel. Thanks a lot”
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When does the Data Science Prerequisites course start and finish?
The course starts as soon as you join! It is a completely self-paced online course, so you decide when you start and when you finish.
How long does it take to complete the course?
We recommend taking the course over two to three weeks, so you have time to apply the lessons to your account (or your client’s account). That being said we’ve seen people complete the course in a week and others that spread the lessons over a couple of months.
How long do I have access to the Data Science Prerequisites course?
You receive full access to the course so that you can take the lessons at any time. You can rewatch lessons whenever you like and any lesson updates are included.
Will I receive a certificate?
Yes, once you complete all of the lessons, exercises, quizzes, and course assignment, you’ll receive your course certificate.
What are you waiting for?
There’s never been a better time to add a skill like programming to your toolbox and Data Science Prerequisites to get started. So check out the free preview and get enrolled! You’ve got nothing to lose and everything to gain!
Who this course is for:
- Data Scientists, Data Analysts.
- Students and professionals who wants to do data analysis using python.
- Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
- Python developer who wants to do analysis of tabular data.
- Who wants to start their data visualization journey
- Who Is curious about how to build effective and impactful graphs
- Who Is looking to break into the business intelligence, analytics or data visualization field
- Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.