Udemy

The Comprehensive Data Analyst Course.

立即報名
  • 130 名學生
  • 更新於 6/2025
3.9
(17 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
教學語言
英語
授課導師
Newton Academy
評分
3.9
(17 個評分)
4次瀏覽

課程簡介

The Comprehensive Data Analyst Course.

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

課程章節

  • 9 個章節
  • 191 堂課
  • 第 1 章 Basic Python for Data Analysis
  • 第 2 章 Basics of SQL
  • 第 3 章 Basics of Statistics
  • 第 4 章 Visualization of Iris Dataset using Seaborn and Matplotlib
  • 第 5 章 Visualization of Haberman dataset
  • 第 6 章 Donors Choose
  • 第 7 章 Linear Algebra
  • 第 8 章 Principal Component Analysis
  • 第 9 章 Advanced Statistics

課程內容

  • 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


評價

  • B
    Ben Doulgue
    1.0

    je ne comprend riens

  • S
    Suzette McMillan
    5.0

    I do not know anything about data analysis using photon however, the instructor is making it easy to understand

  • M
    Michael Trevor Oxley
    5.0

    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%

  • K
    KEVIN MOCHAMA OSIOMA
    5.0

    Learning this course is good exprience

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