MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (52h 39m) | Size: 17.9 GB
No Pre-requisite required.
Data Analysis In-Depth (With Python)
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
Curiosity to learn.
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
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
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.
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