Course Information
Course Overview
Learn about Numpy, Pandas, SQL, Linear Algebra, Visualization and more through solved case study
THE COMPREHENSIVE DATA ANALYST COURSE IS SET UP TO MAKE LEARNING FUN AND EASY
This 100+ lesson course includes 20+ hours of high-quality video and text explanations of everything from Linear Algebra, Probability, Statistics, Permutation and Combination. Topic is organized into the following sections:
Python Basics, Data Structures - List, Tuple, Set, Dictionary, Strings
Pandas and Numpy.
Linear Algebra - Understanding what is a point and equation of a line.
What is a Vector and Vector operations
What is a Matrix and Matrix operations
Data Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data types
Visualizing data, including bar graphs, pie charts, histograms, and box plots
Analyzing data, including mean, median, and mode, IQR and box-and-whisker plots
Data distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scores.
Different types of distributions - Uniform, Log Normal, Pareto, Normal, Binomial, Bernoulli
Chi Square distribution and Goodness of Fit
Central Limit Theorem
Hypothesis Testing
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem, Total Law of Probability
Hypothesis testing, including inferential statistics, significance levels, test statistics, and p-values.
Permutation with examples
Combination with examples
Expected Value
Donors Choose case study.
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
We will start with basics and understand the intuition behind each topic.
Video lecture explaining the concept with many real-life examples so that the concept is drilled in.
Walkthrough of worked out examples to see different ways of asking question and solving them.
Logically connected concepts which slowly builds up.
Enroll today! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.
YOU'LL ALSO GET:
Lifetime access to the course
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Course Content
- 9 section(s)
- 191 lecture(s)
- Section 1 Basic Python for Data Analysis
- Section 2 Basics of SQL
- Section 3 Basics of Statistics
- Section 4 Visualization of Iris Dataset using Seaborn and Matplotlib
- Section 5 Visualization of Haberman dataset
- Section 6 Donors Choose
- Section 7 Linear Algebra
- Section 8 Principal Component Analysis
- Section 9 Advanced Statistics
What You’ll Learn
- Basics of Python., Introduction to Numpy package for handling arrays, Introduction to Pandas package for cleaning and analysing data, Introduction to SQL, Basics of Linear Algebra - What is a point, Line, Distance of a point from a line, What is a Vector and Vector Operations, What is a Matrix and Matrix Operations, Visualizing data, including bar graphs, pie charts, histograms, Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores, Analyzing data, including mean, median, and mode, plus range and IQR and box plots, Data Distributions like Normal and Chi Square, Probability, including union vs. intersection and independent and dependent events and Bayes' theorem, Central Limit Theorem, Hypothesis Testing
Skills covered in this course
Reviews
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BBen Doulgue
je ne comprend riens
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SSuzette McMillan
I do not know anything about data analysis using photon however, the instructor is making it easy to understand
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MMichael Trevor Oxley
Sound went allot softer Section 9 - 150. Expected Value. I was not changing my volume through the course it just went down allot and its hard to hear my volume is on 100%
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KKEVIN MOCHAMA OSIOMA
Learning this course is good exprience