Data Analysis In-Depth (With Python)

Data Analysis In-Depth (With Python), available at $49.99, has an average rating of 4.85, with 24 lectures, based on 58 reviews, and has 7262 subscribers.

You will learn about Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python Language, Numpy, Pandas, Matplotlib, Seaborn and Complete EDA Completing this course will also make you ready for most interview questions for Data Analysts Role This is Pre-requisite for Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses Includes Optional Project and path to success This course is ideal for individuals who are People looking to advance their career in Data Science and Data Analytics or Already working in Data Science/ Data Analyst Roles and want to clear the concepts or Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses or Currently working as Business Analyst / Analyzing data in Excel, Tableau, Qlik, Power BI, etc. And want to do scalable and automated analysis in Python. It is particularly useful for People looking to advance their career in Data Science and Data Analytics or Already working in Data Science/ Data Analyst Roles and want to clear the concepts or Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses or Currently working as Business Analyst / Analyzing data in Excel, Tableau, Qlik, Power BI, etc. And want to do scalable and automated analysis in Python.

Enroll now: Data Analysis In-Depth (With Python)

Summary

Title: Data Analysis In-Depth (With Python)

Price: $49.99

Average Rating: 4.85

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python Language, Numpy, Pandas, Matplotlib, Seaborn and Complete EDA

Completing this course will also make you ready for most interview questions for Data Analysts Role

This is Pre-requisite for Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses

Includes Optional Project and path to success

Who Should Attend

People looking to advance their career in Data Science and Data Analytics

Already working in Data Science/ Data Analyst Roles and want to clear the concepts

Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses

Currently working as Business Analyst / Analyzing data in Excel, Tableau, Qlik, Power BI, etc. And want to do scalable and automated analysis in Python.

Target Audiences

People looking to advance their career in Data Science and Data Analytics

Already working in Data Science/ Data Analyst Roles and want to clear the concepts

Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses

Currently working as Business Analyst / Analyzing data in Excel, Tableau, Qlik, Power BI, etc. And want to do scalable and automated analysis in Python.

Data Analysis In-Depth (With Python)

1. What will students learn in your course?

Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python Language, Numpy, Pandas, Matplotlib, Seaborn and Complete EDA

Completing this course will also make you ready for most interview questions for Data Analysts Role

This is Pre-requisite for Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses

Includes Optional Project and path to success

2. What are the requirements or prerequisites for taking your course?

No Pre-requisite required. Curiosity to learn.

3. Who is this course for?

People looking to advance their career in Data Science and Data Analytics

Already working in Data Science/ Data Analyst Roles and want to clear the concepts

Want to make base strong before moving to Machine Learning, Deep Learning, Reinforcement Learning, NLP, and other AI courses

Currently working as Business Analyst / Analyzing data in Excel, Tableau, Qlik, Power BI, etc. And want to do scalable and automated analysis in Python.

4. Is this course in depth and will make industry ready?

Absolutely yes, it will make you ready to creach Data Analyst roles interview as well as it is pre requisite for Machine Learning, Deep Learning, etc

5. I am new to IT/Data Science, Will i understand?

Absolutely yes, it is taught in most simplest way for every one to understand

Course Curriculum

Chapter 1: Data Analysis In-Depth (In Python)

Lecture 1: Introduction to Data Science Career Path

Lecture 2: Day 1 – Introduction to Data Science

Lecture 3: Day 2 – Introduction to Data Analytics

Lecture 4: Day 3 – Statistics for Data Analysis – Scalar, Vectors and Matrix

Lecture 5: Day 4 – Statistics for Data Analysis – Probability

Lecture 6: Day 5 – Statistics for Data Analysis – Probability

Lecture 7: Day 6 – Statistics for Data Analysis – Probability

Lecture 8: Day 7 – Statistics for Data Analysis – Probability

Lecture 9: Day 8 – Statistics for Data Analysis – Statistical Hypothesis

Lecture 10: Day 9A – Statistics for Data Analysis – Statistical Hypothesis

Lecture 11: Day 9B – Python for Data Analysis

Lecture 12: Day 10 – Python for Data Analysis

Lecture 13: Day 11 – Python for Data Analysis

Lecture 14: Day 12 – Python for Data Analysis

Lecture 15: Day 13 – Numpy

Lecture 16: Day 14 – Pandas

Lecture 17: Day 15 – Pandas

Lecture 18: Day 16 – Pandas

Lecture 19: Day 17 – Pandas

Lecture 20: Day 18 – Seaborn

Lecture 21: Day 19 A – Seaborn

Lecture 22: Day 19 B – EDA

Lecture 23: Day 20 A – EDA Cont

Lecture 24: Day 20 B – What Next, How to prepare for Job/Career Switch

Instructors

Harish Masand
Data Engineering and Data Science(Big Data, ML, AI )

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 16 votes

5 stars: 38 votes

Frequently Asked Questions

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!