Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2025 Edition
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About Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2025 Edition
Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2025 Edition π΄ To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: https://wscubetech.com/data-analytics-course?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 π Want to learn and acquire skills in English? Visit WsCube Tech English channel: https://bit.ly/2M3oYOs π π©πΌππ² π³πΌπΏ πΌππΏ π»π²π π ππΆπ±π²πΌ: https://bit.ly/share-topic-ideas For any queries, call us on: +91-7878985501 β CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) - π Instagram - https://www.instagram.com/kushagrabhatiaofficial π LinkedIn - https://www.linkedin.com/in/kushagra-bhatia π Facebook - https://www.facebook.com/kushagrawscubetech Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more: π Facebook: https://www.facebook.com/wscubetech.india π¦ Twitter: https://twitter.com/wscubetechindia π± Instagram: https://www.instagram.com/wscubetechindia/ π¨π»βπ» LinkedIn: https://www.linkedin.com/company/wscubetechindia/ πΊ Youtube: http://bit.ly/wscubechannel π Website: http://wscubetech.com --------------------------------------| Thanks |--------------------------- #dataanalysis #analyticscourse #dataanalytics #dataanalytics2024
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About YouTube Live View Counter
YouTube Live View Counter is the best way to check your Favorite Creator's Statistics updated in real-time! Data seen on Most Social Medias might be inacurate or delayed, that's why Livecounts.io came with idea for YouTube Live View Counter!
Everything is directly taken from official API Service provided by Social Networks. Every single count is updated every 2 seconds and is as accurate as possible.
To search for specific channel simply click "Change User" button below Follower Count Box, type your favorite creator's username and you're good to go! This IS NOT case-sensitive thus you type for example "MrBeast" or "MrBeAsT" and it should still work!
If you're interested in watching Follower Count battle then navigate to Compare Page below Follower Count Box or on Navigation Bar.
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The YouTube Live View Counter explained
What the YouTube Live View Counter does
The YouTube Live View Counter tracks the view count on a single video and refreshes it about every three seconds, the fastest cadence we run. When a big upload or a premiere goes live, YouTube's own view count updates in slow, lumpy jumps and freezes for stretches while it verifies views. This tool reads the public figure far more often, so you see the number climb in something close to real time.
Under the main view count you get three more live stats for the same video: likes, dislikes, and comments. The dislike figure is worth calling out. YouTube hid the public dislike count in 2021, and this counter brings back an estimate so you can still gauge how a video is landing, not just how many people opened it.
How to use it
Want the counter on a stream or a watch-party page? The embed option gives you a widget you can drop in. Want to race two videos, maybe a music video against its rival's? The compare tool puts both view counts side by side.
- 1Paste the video's URL, or search for it by title. A full YouTube link is the surest way to land on the exact video you mean.
- 2Confirm the right video from the results, since popular titles get copied and reuploaded constantly.
- 3Watch the view count climb. The likes, dislikes, and comments update alongside it, and the chart tracks the pace over time.
Why the count moves the way it does
View counting on YouTube is stricter than subscriber counting. YouTube checks that a view is a real person watching, not a bot or an accidental reload, which is why a brand-new video's count can stick at a suspiciously round number before it lurches forward. What you see here mirrors that. During a premiere or a viral spike the number races. Once the initial rush fades it settles into a steadier pace.
All of it is public. This is the same view count sitting on the video's page, pulled more often and shown without the delay YouTube adds when it is busy verifying. We do not inflate anything or add views. We just make the real number easier to watch as it changes.
Reading the chart
The chart under the counter plots every reading, so its slope is a live read on how fast the video is gaining views. A steep climb in the first hour is the sign of a video the algorithm is pushing hard. When the slope flattens, the initial rush is over. Turn on Advanced Metrics to add the total views gained since you opened the page and an average per-minute rate. That is the quickest way to tell a genuine breakout from a video that opened fast and then stalled.
The likes and comments moving in step with views tell you something too. A video gaining views but almost no likes is spreading without landing. Strong likes and comments alongside a climbing view count is the shape of a video people actually care about.
The moments people show up for
A new music video from a major artist is the classic case. Fans open the counter the second it drops to watch the first million, then the first ten million, roll in over the opening hours. Records get set and broken this way, and a live counter is the only place to feel the pace rather than read the recap.
The same goes for anything chasing a landmark. A video creeping toward a billion views pulls a crowd who want to catch the odometer flip. Creators use it too, watching how a fresh upload gathers views in its first hour to judge whether it is breaking out.
Common questions
Why does the count sometimes freeze? YouTube pauses public view counts while it verifies that new views are real, usually on fast-moving videos around round numbers. The counter reflects whatever YouTube is showing, so it freezes when YouTube does, then catches up in a jump.
Where does the dislike number come from? YouTube removed the public dislike count in 2021. The estimate here is built from the data that was public before the change plus ongoing signals, so treat it as a strong estimate rather than an exact figure. Likes and comments stay exact, because those are still public.
Does it work for any video, and is it free? Any public video works. Private, unlisted, or restricted videos that hide their stats cannot be tracked, because the numbers are not public. It is free, with no sign-up. Ads keep it running. Paste a video link and watch.
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