Learn Data Science Tutorial | Data Science With Python | Python Data Science Tutorial

Welcome to this course on Data Science For Beginners With Python Pandas. Learn how Perform a Many of data operations in Python’s popular Pandas library. Learn how Perform a Many of data operations in Python’s popular Seaborn library. Seaborn is a Python data visualization library based on matplotlib.
An area that manages, manipulates, extracts, and interprets knowledge from tremendous amount of data. Data scientists are the key to realizing the opportunities presented by big data.

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Data Science With Python Training | Python Data Science Course | Intellipaat

In this Data Science With Python Training video, you will learn everything about data science and python from basic to advance level. This python data science course video will help you learn various python concepts, AI, and lots of projects, hands-on demo, and lastly top trending data science and python interview questions. This is a must-watch video for everyone who wishes o learn data science and python to make a career in it.

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Learn Data Science Tutorial - Full Course for Beginners. DO NOT MISS!!!

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the “sexiest job of the 21st century.” You’ll learn the important elements of data science. You’ll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You’ll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.
⭐️ Course Contents ⭐️
⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science

• Welcome (1.1)
• Demand for Data Science (2.1)
• The Data Science Venn Diagram (2.2)
• The Data Science Pathway (2.3)
• Roles in Data Science (2.4)
• Teams in Data Science (2.5)
• Big Data (3.1)
• Coding (3.2)
• Statistics (3.3)
• Business Intelligence (3.4)
• Do No Harm (4.1)
• Methods Overview (5.1)
• Sourcing Overview (5.2)
• Coding Overview (5.3)
• Math Overview (5.4)
• Statistics Overview (5.5)
• Machine Learning Overview (5.6)
• Interpretability (6.1)
• Actionable Insights (6.2)
• Presentation Graphics (6.3)
• Reproducible Research (6.4)
• Next Steps (7.1)

⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)

• Welcome (1.1)
• Metrics (2.1)
• Accuracy (2.2)
• Social Context of Measurement (2.3)
• Existing Data (3.1)
• APIs (3.2)
• Scraping (3.3)
• New Data (4.1)
• Interviews (4.2)
• Surveys (4.3)
• Card Sorting (4.4)
• Lab Experiments (4.5)
• A/B Testing (4.6)
• Next Steps (5.1)

⌨️ Part 3: Coding (2:32:42)

• Welcome (1.1)
• Spreadsheets (2.1)
• Tableau Public (2.2)
• SPSS (2.3)
• JASP (2.4)
• Other Software (2.5)
• HTML (3.1)
• XML (3.2)
• JSON (3.3)
• R (4.1)
• Python (4.2)
• SQL (4.3)
• C, C++, & Java (4.4)
• Bash (4.5)
• Regex (5.1)
• Next Steps (6.1)

⌨️ Part 4: Mathematics (4:01:09)

• Welcome (1.1)
• Elementary Algebra (2.1)
• Linear Algebra (2.2)
• Systems of Linear Equations (2.3)
• Calculus (2.4)
• Calculus & Optimization (2.5)
• Big O (3.1)
• Probability (3.2)

⌨️ Part 5: Statistics (4:44:03)

• Welcome (1.1)
• Exploration Overview (2.1)
• Exploratory Graphics (2.2)
• Exploratory Statistics (2.3)
• Descriptive Statistics (2.4)
• Inferential Statistics (3.1)
• Hypothesis Testing (3.2)
• Estimation (3.3)
• Estimators (4.1)
• Measures of Fit (4.2)
• Feature Selection (4.3)
• Problems in Modeling (4.4)
• Model Validation (4.5)
• DIY (4.6)
• Next Step (5.1)

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=ua-CiDNNj30&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=7
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

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How I'd Learn Data Science If I Were To Start All Over Again

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting.

I’m aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that’s ok, the important thing is to learn and enjoy it.

So, talking from my own perspective and knowing how I learn better I designed this path if I had to start learning Data Science again.

As you will see, my favorite way to learn is going from simple to complex gradually. This means starting with practical examples and then move to more abstract concepts.

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Data Science with Python Certification Training in Chennai

Learn Best data science with python Course in Chennai by Industry Experts & Rated as and Best data science with python training in Chennai. Call Us Today!

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