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!
You may also like
- Top 10 Language Learning Courses to Learn in November 2024
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024