Free Download Python To Tableau Mastering Data Analysis & Visualization
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.74 GB | Duration: 8h 52m
Empowering Visual Insights with Tableau Essentials and Python Data Analysis Techniques
What you'll learn
A comprehensive understanding of Tableau's core functionalities and features
Proficiency in creating a wide range of visualizations for diverse data sets.
The ability to design interactive and intuitive dashboards for effective data communication.
Enhanced storytelling skills to convey insights and influence decision-making.
Confidence in utilizing Tableau tA certificate of completion, acknowledging your mastery of Tableau Essentials.o tackle real-world data challenges with finesse.
A solid foundation in data analysis using Python
Practical experience with essential Python libraries: NumPy, pandas, and Plotly
Ability to clean, manipulate, and visualize data effectively
Hands-on experience with an end-to-end data analysis project
Skills to derive actionable insights from real-world datasets
Requirements
No prior experience with Tableau is necessary, but a basic understanding of data analysis concepts is beneficial.
Basic understanding of Python programming
Familiarity with fundamental programming concepts
Description
Course Description:Welcome to the comprehensive journey of mastering data analysis and visualization with Python and Tableau. In this immersive course, you'll explore the essential techniques and tools needed to transform raw data into actionable insights. Beginning with Tableau Essentials, you'll delve into the realm of dynamic reporting, interactive dashboards, and compelling data storytelling. From mastering basic functionalities to crafting intricate visualizations, you'll elevate your proficiency from novice to expert.Whether you're a data analyst, business intelligence professional, or a decision-maker seeking strategic insights, this course equips you with the skills to navigate the complexities of data with confidence and finesse. Transitioning to Python, you'll embark on a comprehensive introduction to data analysis. Covering essential libraries like NumPy and pandas, you'll learn data manipulation, cleaning, and visualization techniques. Through hands-on exercises and an end-to-end project analyzing the Google Playstore dataset, you'll gain practical experience in applying Python's power to real-world data.Join us on this transformative voyage as we unlock the full potential of Tableau and Python, revolutionizing the way you visualize, analyze, and derive insights from data.Who Should Enroll
ata analysts, business analysts, and BI professionals seeking to enhance their visualization and analysis skills.Managers and decision-makers looking to leverage data visualization for strategic insights. Professionals transitioning into roles requiring data interpretation and storytelling. Aspiring Data Analysts and Data Scientists keen on mastering Python for data-driven decision-making.Prerequisites:No prior experience with Tableau or Python is necessary, but a basic understanding of data analysis concepts and Python programming is beneficial.What You'll Gain:Comprehensive understanding of Tableau and Python's core functionalities and features. Proficiency in creating diverse visualizations and conducting data analysis. Ability to design interactive dashboards and effectively communicate insights. Practical experience with real-world datasets through hands-on projects. Skills to derive actionable insights and influence decision-making processes. Certificate of completion, acknowledging your mastery of data analysis and visualization techniques with Tableau and Python.Overview
Section 1: Tableau Essentials: From Foundations to Visualization Master
Lecture 1 Introduction to Instructor and Tableau
Lecture 2 Importance of Tableau
Lecture 3 What is tableau
Lecture 4 UseCase
Lecture 5 Links for the Course's Materials and Codes
Section 2: Tableau Fundamentals
Lecture 6 Links for the Course's Materials and Codes
Lecture 7 Installation and Setup
Lecture 8 UI Tour
Lecture 9 Import Data from Various Data Sources (Excel, CSV, etc.)
Lecture 10 Explore Data Pane and Data Source Pane
Section 3: Tableau Functions
Lecture 11 Links for the Course's Materials and Codes
Lecture 12 Functions (Presentation Canva)
Lecture 13 Basic Functions (ABS, Ceiling, Floor, Max, Min, Div, ZN)
Lecture 14 String Functions (Contains, endswith, find, findnth, len, lower, upper, split, trim)
Lecture 15 Date Functions (Dateadd, DateDiff, Datename, Day, Month, Year, isdate, Makedate, Maketime, Makedatetime, Now)
Lecture 16 Aggregate Functions (avg, max, median, min, sum)
Lecture 17 Logical Functions (if, and, else, or)
Section 4: Mastering Visualizations
Lecture 18 Links for the Course's Materials and Codes
Lecture 19 Visualizations - Bar Chart
Lecture 20 Visualizations - Line Chart
Lecture 21 Visualizations - Bullet Chart
Lecture 22 Visualizations - Text Table
Lecture 23 Visualizations - Gantt Chart
Lecture 24 Visualizations - Pie Chart
Lecture 25 Visualizations - Scatter Plot
Lecture 26 Visualizations - Area Chart
Lecture 27 Visualizations - Dual Axis Chart
Lecture 28 Visualizations - Bubble Chart
Section 5: Exploring Geographic Mapping
Lecture 29 Links for the Course's Materials and Codes
Lecture 30 Introduction to Geo Data Visualization
Lecture 31 Geographic Mapping
Lecture 32 Customizing Map Layers and Styles
Lecture 33 Creating a Dashboard
Section 6: End-to-End Project Implementation
Lecture 34 Links for the Course's Materials and Codes
Lecture 35 Starting the Projects
Lecture 36 PROJECT Part 1
Lecture 37 PROJECT Part 2
Lecture 38 PROJECT Part 3
Lecture 39 PROJECT Part 4
Lecture 40 PROJECT Part 5
Section 7: Mastering Data Publication and Collaboration with Tableau Cloud
Lecture 41 Links for the Course's Materials and Codes
Lecture 42 Publishing to Tableau Cloud
Section 8: Data Analysis Using Python: Practical Skills and Projects
Lecture 43 Introduction to Course
Lecture 44 Course Content
Lecture 45 Links for the Course's Materials and Codes
Section 9: Introduction to Numpy
Lecture 46 Links for the Course's Materials and Codes
Lecture 47 Introduction to Numpy
Lecture 48 key Features
Lecture 49 Array vs List
Lecture 50 Array Attributes
Lecture 51 Array Slicing Reshaping
Lecture 52 Stacking Adding
Lecture 53 Copy View
Lecture 54 Advance Slicing
Lecture 55 Universal Functions
Section 10: Introduction to Pandas
Lecture 56 Links for the Course's Materials and Codes
Lecture 57 Introduction to Pandas
Lecture 58 Dataframe Methods
Lecture 59 Install Import Read
Lecture 60 Data Filtration
Lecture 61 Sorting Data
Lecture 62 Casting Types
Lecture 63 Arithmetic Operations
Lecture 64 Concat Data
Lecture 65 Duplicate Handling
Lecture 66 Missing Handle
Lecture 67 Groupby Aggregate
Section 11: Data Visualization with Plotly
Lecture 68 Links for the Course's Materials and Codes
Lecture 69 Introduction to Plotly
Lecture 70 Fundamentals Plotly
Lecture 71 Scatter Line Plots
Lecture 72 Pie Bar Histogram Plots
Lecture 73 Cutomizable Plots
Lecture 74 Interactive Subplots
Section 12: Introduction to Project
Lecture 75 Links for the Course's Materials and Codes
Lecture 76 introduction to project
Lecture 77 key Features
Lecture 78 Pre Processing
Lecture 79 Top Installed Categories
Lecture 80 Top Installed Apps
Lecture 81 Top Rated Apps
Lecture 82 Distribution Free vs Paid
Lecture 83 Rating in Free vs Paid
Lecture 84 Price Free vs Paid
Data analysts, business analysts, and BI professionals seeking to enhance their visualization skills.,Managers and decision-makers looking to leverage data visualization for strategic insights.,Professionals transitioning into roles that require data interpretation and storytelling,Students and individuals interested in mastering Tableau for career advancement,Aspiring Data Analysts and Data Scientists,Professionals looking to enhance their data analysis skills,Individuals interested in leveraging Python for data-driven decision making
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