YoVDO

NumPy Data Science Essential Training With Python 3

Offered By: YouTube

Tags

NumPy Courses Statistics & Probability Courses Data Science Courses Data Analysis Courses Data Visualization Courses Linear Algebra Courses Matplotlib Courses Data Cleaning Courses Data Wrangling Courses

Course Description

Overview

Dive into a comprehensive 12-hour course on NumPy for data science using Python 3. Master essential concepts including array creation, indexing, slicing, broadcasting, and structured arrays. Explore data visualization techniques with Matplotlib, covering pie charts, bar charts, and box plots. Learn advanced topics such as shallow vs. deep copy, array manipulation, linear algebra functions, and statistical analysis with SciPy. Practice with hands-on examples, tackle Python puzzles, and engage in data cleaning, wrangling, and exploratory data analysis using Pandas. Gain insights into hypothesis testing, ANOVA, and machine learning concepts like cross-validation and logistic regression. Understand the fundamentals of data science, 5G technology, and various data-related career paths. Develop skills in creating diverse charts, handling missing values, and performing correlation analyses. Conclude with an introduction to natural language processing using NLTK and advanced data visualization using Plotly Chart Studio.

Syllabus

What is Jupyter Notebook ? Introduction, Walkthrough + Jupyter Markdown Beginners Guide.
Numpy Data Science Create Arrays Using NumPy Methods and Python Structures.
NumPy Indexing and Slicing Arrays, Boolean Mask Arrays , Numpy Python Data Science.
NumPy Broadcasting Functionality and Computation On Arrays In Python Data Science.
NumPy Structured Arrays vs Record Arrays, NumPy Arrays Tutorial in Python Data Science.
Create Plots and Figures in Python Using NumPy & Matplotlib Examples Tutorial Python Data Science .
NumPy Matplotlib Tutorial, Matplotlib Pie Charts, Bar charts, Box Plots In Python Data Science .
NumPy Data Science, Learn Python Shallow Copy Vs Deep Copy, Data Science With Python Programming .
Python Data Science, How to Add and Remove Elements From Arrays Using Python NumPy Functions .
Python Data Science Course, Learn Functions: NumPy Reshape, Tile and NumPy Transpose Array .
Numpy Linear Algebra Functions and Examples, Linear Algebra Using Scipy in Python 3 (Jupyter) .
Python NumPy Examples: Universal Functions, Pythagorean Triplets & Linear Algebra In Data Science .
Learn Python Statistical Functions With Scipy Stats & NumPy, Data Analysis Course For Beginners .
NumPy Python Challenge For Beginners, Python Puzzles and Challenge Solution Using Jupyterlab ✏️.
Data Cleaning Steps and Methods, How to Clean Data for Analysis With Pandas In Python [Example] .
Data Wrangling With Python Using Pandas, Data Science For Beginners, Statistics Using Python .
Cleaning Data In Python Using Pandas In Data Mining Example, Statistics With Python For Data Science.
Cleaning Data In Python For Statistical Analysis Using Pandas, Big Data & Data Science For Beginners.
Exploratory Data Analysis In Python, Interactive Data Visualization [Course] With Python and Pandas.
Python Describe Statistics, Exploratory Data Analysis Using Pandas & NumPy [Descriptive Statistics].
Python Graph Visualization, Statistics For Data Analytics [ Python Bar Graph Example Tutorial ] .
Data Visualization In Python, [ Plots Of Two Variables ] Statistics & Data Analysis With Python .
Python Graph Visualization, Exploratory Data Analysis With Pandas & Matplotlib [ Python Statistic ].
Python Data Visualization [ Graphing Categorical Data ] Pandas Data Analysis & Statistics Tutorial.
Exploratory Data Analysis In Python, Email Analytics With Pandas [ Predictive Analytics Python ] .
Learning Predictive Analytics With Python, Analyzing Election Data With Pandas [Python Statistics].
Hypothesis Testing, p-value & Confidence Intervals, Exploratory Data Analysis In Python Statistics.
Anova, Fitting Models To Data & Goodness of Fit, Exploratory Data Analysis Using Python Statsmodel.
Cross Validation In Machine Learning & Python Logistic Regression Tutorial, Statistics Using Python.
What is Data Science? Data Analyst & Data Science Job Description In 2020.
What is 5G Technology? Basics Of 5G Explained in 7 Minutes [HD].
Data Science vs Data Engineering vs Data Analytics vs Business Intelligence.
Python Data Science : Four Types of Data Science and Data Analysis.
Python Data Science : Filtering and selecting data with Python.
Python Data Science: Treating Missing Values Using NumPy and Pandas in JupyterLab.
Python Data Science: Removing Duplicates From Data Using NumPy and Pandas.
Python Data Science: Concatenation and Transforming Data Using NumPy and Pandas In JupyterLab.
Python Data Science: Grouping Data ( How to Import CSV File in Python - Jupyter Notebook ).
Python Data Science: What is the Best Data Visualization Technique For You?.
Python Data Science: What is the Best Data Visualization Technique - Part 2.
Python Data Science: Create Line Chart, Bar Chart and Pie Chart (How to Save As PNG Image).
Python Data Science: Create Graphs and Subplots in Python Using Matplotlib and Pandas.
Python Data Science: Plot Colors, Marker Styles and Line Styles Using Matplotlib and Pandas.
Graph Label, legend & Annotation Using Matplotlib & Pandas |Python Data Science| Data Visualization.
Plot Time Series Data In Python With Matplotlib, Pandas and Numpy Using Jupyterlab.
Plot Boxplots, Scatterplot Matrices, Histogram In Python Using Seaborn, Matplotlib & Pandas.
Python Data Science: Arrays and Matrices In Python With NumPy | Matrix Addition & Subtraction.
Python Data Science: Arrays And Matrices With NumPy | Matrix Multiplication & NumPy Dot Product.
Python Data Science: Summary Statistics | Descriptive Statistics In Python With Scipy, NumPy, Pandas.
Pearson Correlation Coefficient: Parametric Correlation Analysis In Python Using Scipy & Seaborn.
Spearman's Rank Correlation & Chi Square Table Analysis In Python Using Pandas, NumPy & Scipy.
Scale & Transform Data Variables In Python for Machine Learning With Scikit-learn Preprocessing.
Univariate Outlier Detection for Machine Learning Using Pandas and Matplotlib In Python.
Multivariate Outlier Detection For Machine Learning Using Matplotlib and Pandas in Python.
Natural Language Processing With NLTK & Python - NLP In 2021.
Create Line Chart From Pandas Data Frame in Chart Studio (Plotly) In Python - Part I.
Create Bar Chart and Pie Chart From Pandas Data Frame in Chart Studio (Plotly) In Python - Part II.
Plotly Chart Studio Tutorial - Create Histograms, Box plot, Scatter Plot in Python - Part III.
Plotly Chart Studio Python Complete Beginners Guide 2021.


Taught by

TheEngineeringWorld

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