Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition

By - WsCube Tech
Overview
Practice
Certification
Reminders

Description

Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2024 Edition πŸ”΄ To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: https://www.wscubetech.com/landing-pages/online-data-analytics-course.html?utm_source=YouTube&utm_medium=JAN2024_04&utm_campaign=RV GitHub Link: https://github.com/Ayushi0214/Datasets 00:00:00 - 02:15:26: Python Basics - Introduction to Python for Data Analytics - Python Installation in Windows - Python IDE (Pycharm) - First Program in Python - Comments, Variables, Datatypes, User-Inputs - TypeCasting, Subtypes, Problem-Solving - Operators and Operands - Conditional Statements 02:40:22 - 06:36:18: Python - Loops and Lists - Introduction to Loops - For Loop, While Loop, Nested Loops - For Loop with Conditional Statements - Break and Continue Statement - Loops Problem Solving - Introduction to Lists - Lists Slicing, Iteration, Functions - List Comprehension, Problem Solving 06:47:43 - 07:36:16: Tuples, Dictionaries, and Sets in Python - Introduction to Tuples - Tuples Slicing, Iteration, Functions, Problem Solving - Introduction to Dictionaries - Iteration, Functions, Nested Dictionaries, Problem Solving - Introduction to Sets - Set Methods, Problem Solving 08:16:10 - 09:14:20: Python Functions and Modules - Introduction to Functions - Parameters, Arguments, Return Statement, Recursion - Lambda Function, Local and Global Variables - Functions Problem Solving - Introduction to Modules, In-built Modules - Creation of Modules, Project Random Module 09:15:59 - 15:57:26: Numpy and Data Manipulation - Introduction to Numpy - Installation of Jupyter Notebook - Creation, Indexing, and Slicing of Numpy Arrays - Mathematical Operations, Combining and Splitting Arrays - Search, Sort, Filter Arrays, Aggregating Functions - Statistical Functions in Arrays 12:01:26 - 13:45:36: Pandas for Data Analysis - Introduction to Pandas - Creation of Data Frames, Exploring Data - Dealing with Duplicate values, Missing Data - Column Transformation in Pandas, GroupBy - Merge, Concatenate, Join in Pandas - Pivoting and Melting Dataframes 13:43:51 - 15:57:26: Matplotlib for Data Visualization - Introduction to Matplotlib - Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots - Stack Plot, Step Chart, Legends, Subplot - Save a Chart Using Matplotlib - Data Visualization in Seaborn - Seaborn Project 18:38:09 - 21:02:52: MySQL for Data Analytics - Introduction to MySQL - Installation, Importing Data - Select Query, Where Clause - AND, OR, NOT Operators, Like Operator - Order By, Limit, Between - IN, NOT IN operator, String Functions - Data Aggregation, Numeric Functions - Date Functions, Case Operator - Group By, Having Clause - Joins, Set Operators, Subqueries, Views - Stored Procedure, Window Functions 21:14:31 - 24:45:52: Excel for Data Analytics - Introduction to MS Excel - Basic Functions, Data Validation - Data Connectors, Conditional Formatting - Basics of Formatting, Sorting, Filtering Data - Dealing with Null Values, Duplicate Values - Trimming Whitespaces, Text Functions - IF, AND, OR Functions, Date & Time Functions - COUNTIF, SUMIF Functions, Xlookup - Power Query, Cleaning and Transformation - Creating a Dashboard in Excel, myExcel Project 25:38:35 - 29:09:56: Power BI Essentials - Introduction to Power Bi - Installation of Power Bi Desktop - Data Connectors, Basic Transformations - Format Tool, Pivoting, Unpivoting of data - Adding Conditional Columns, Merge queries - Data model, Relationship Management - Introduction to DAX, Calculated Columns, Measures - DAX Functions, Visualizations, Filters - Creating Reports, Custom Visuals - Designing for Phone vs Desktop Report Viewers - Publishing Reports to Power BI Services πŸ‘‰ Want to learn and acquire skills in English? Visit WsCube Tech English channel: https://bit.ly/2M3oYOs πŸ“Œ π—©π—Όπ˜π—² 𝗳𝗼𝗿 π—Όπ˜‚π—Ώ π—»π—²π˜…π˜ π˜ƒπ—Άπ—±π—²π—Ό: https://bit.ly/share-topic-ideas For any queries, call us on: +91-7878985501 βœ… CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) - πŸ‘‰ Instagram - https://www.instagram.com/kushagrabhatiaofficial πŸ‘‰ LinkedIn - https://www.linkedin.com/in/kushagra-bhatia πŸ‘‰ Facebook - https://www.facebook.com/kushagrawscubetech Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more: πŸ˜„ Facebook: https://www.facebook.com/wscubetech.india 🐦 Twitter: https://twitter.com/wscubetechindia πŸ“± Instagram: https://www.instagram.com/wscubetechindia/ πŸ‘¨πŸ»β€πŸ’» LinkedIn: https://www.linkedin.com/company/wscubetechindia/ πŸ”Ί Youtube: http://bit.ly/wscubechannel 🌐 Website: http://wscubetech.com --------------------------------------| Thanks |--------------------------- #dataanalysis #analyticscourse #dataanalytics

Chapters

02:15:26: Python Basics
02:15:26: Python Basics
2 hour 40 min
06:36:18: Python - Loops and Lists
06:36:18: Python - Loops and Lists
4 hour 7 min
07:36:16: Tuples, Dictionaries, and Sets in Python
07:36:16: Tuples, Dictionaries, and Sets in Python
1 hour 28 min
09:14:20: Python Functions and Modules
09:14:20: Python Functions and Modules
59 min
15:57:26: Numpy and Data Manipulation
15:57:26: Numpy and Data Manipulation
2 hour 45 min
13:45:36: Pandas for Data Analysis
13:45:36: Pandas for Data Analysis
1 hour 42 min
15:57:26: Matplotlib for Data Visualization
15:57:26: Matplotlib for Data Visualization
4 hour 54 min
21:02:52: MySQL for Data Analytics
21:02:52: MySQL for Data Analytics
2 hour 36 min
24:45:52: Excel for Data Analytics
24:45:52: Excel for Data Analytics
4 hour 24 min
29:09:56: Power BI Essentials
29:09:56: Power BI Essentials
-35 sec
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