Share this link via
Or copy link
Overview
Data Analysis In-Depth (With Python) What you'll learn: Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python Language, Numpy, Pandas, Matplotlib, Seaborn and Complete EDACompleting 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 Data Analysis In-Depth (With Python)1. What will students learn in your course?Data Analysis In-depth, Covers Introduction, Statistics, Hypothesis, Python...
Syllabus
- Introduction to Data Science Career Path
- Day 1 - Introduction to Data Science
- Day 2 - Introduction to Data Analytics
- Day 3 - Statistics for Data Analysis - Scalar, Vectors and Matrix
- Day 4 - Statistics for Data Analysis - Probability
- Day 5 - Statistics for Data Analysis - Probability
- Day 6 - Statistics for Data Analysis - Probability
- Day 7 - Statistics for Data Analysis - Probability
- Day 8 - Statistics for Data Analysis - Statistical Hypothesis
- Day 9A - Statistics for Data Analysis - Statistical Hypothesis
- Day 9B - Python for Data Analysis
- Day 10 - Python for Data Analysis
- Day 11 - Python for Data Analysis
- Day 12 - Python for Data Analysis
- Day 13 - Numpy
- Day 14 - Pandas
- Day 15 - Pandas
- Day 16 - Pandas
- Day 17 - Pandas
- Day 18 - Seaborn
- Day 19 A - Seaborn
- Day 19 B - EDA
- Day 20 A - EDA Cont
- Day 20 B - What Next, How to prepare for Job/Career Switch
Instructor
Harish Masand
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.