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Build job-ready skills by learning from the best Get started in the in-demand field of data analytics with a Professional Certificate from IBM. Learn the core principles of data analysis and gain experience with data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources. ✅Course Material: https://mega.nz/file/HBYViQRb#P7X4-tPnJjhDu5gEtEO5VIV8PrrO-sEy-yT26mEHvUg ✅An alternative link to access the file: https://drive.google.com/file/d/1rjbNTknDaOpOcfd6Yn36IXMQoyrgu3Qm/view?usp=sharing 👉Database Engineering By Meta : https://youtu.be/iwRneX7GIGI 👉Applied Data Science By IBM: https://youtu.be/AMtFSAt0tZ0 👉Applied Data Science with R By IBM: https://youtu.be/5phPXk1ypZE ⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐ 👉INTRODUCTION TO DATA ANALYTICS 0:00:00 Modern Data Ecosystem and the Role of data analytics 0:21:48 The Data Analyst Role 0:39:39 The Data Ecosystem and Language for Data Professionals 1:08:41 Understandig Data Repositories and Big Data platforms 1:47:03 Gathering Data 2:03:47 Wrangling Data 2:26:55 Analyzing and Mining Data 2:46:33 Communicating Data Analysis Findings 3:11:19 Opportunities and Learning Paths 👉EXCEL BASICS FOR DATA ANALYSIS 3:40:06 Introduction to Spreadsheets for Data Analysis 4:06:37 Getting Started Using Spreadsheets 4:42:03 Basics of Data Quality and Privacy 5:01:55 Cleaning Data 5:30:02 Data Analysis Basics Filtering and Sorting Data 6:05:57 Using Pivot Tables 👉DATA VISUALIZATION AND DASHBOARDS EXCEL AND COGNOS 6:26:48 Creating Charts 6:50:32 Creating Advanced Charts 7:04:27 Creating Dashboards Using Spreadsheets 7:21:39 Creating Dashboards using IBM Cognos Analytics 👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT 7:35:08 Types 7:38:11 Expressions and Variables 7:42:06 String Operations 7:46:04 Lists and Tuples 7:54:56 Dictionaries 7:57:21 Sets 8:02:39 Conditions and Branching 8:12:56 Loops 8:19:42 Functions 8:33:14 Exception Handling 8:37:03 Objects and Classes 8:47:56 Reading Writing files with open 8:54:34 Pandas 8:59:43 Numpy in Python 9:18:21 Simple APIs 9:28:41 REST APIs Webscraping and Working with Files 👉PYTHON PROJECT FOR DATA SCIENCE 9:51:59 Optional Intro to Webscraping 👉DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON 10:01:58 Basic SQL 10:20:58 Introduction to Relational Databases and tables 10:43:05 Refining your Results 10:53:59 Functions Multiple Tables and Sub Queries 11:14:43 Accessing Databases Using Python 11:41:55 Assignment Preparing working with real world data sets and build in SQL 11:54:53 View Stored Procedures and Transactions 12:05:41 Join Statements 👉DATA ANALYSIS WITH PYTHON 12:18:16 Import Datasets 12:38:02 Data Wrangling 12:57:26 Exploratory Data Analysis 13:17:06 Model Development 13:44:31 Model Evaluation and Refinement 👉DATA VISUALIZATION WITH PYTHON 14:05:42 Welcome 14:10:13 Introduction to Data Visualization 14:32:21 Basic Visualization tools 14:45:36 Specialized Visualization tools 14:58:24 Advanced Visualization tools 15:03:48 Visualization Geospatial Data 15:13:06 Creating dashboards with plotly and dash 👉IBM DATA ANALYST CAPSTONE PROJECT 15:30:37 Welcome to the Course 15:33:49 How to Present your Findings ♥️♥️Thanks for watching don't forget to like and Subscribe♥️♥️ 🧾 For Earning the Certificate, Enroll in this Course here®️: https://www.coursera.org/professional-certificates/ibm-data-analyst? ✨✨PLEASE IGNORE THESE TAGS✨✨ data analyst tutorial for beginners, #dataanalysttutorial, #dataanalystcourse, #dataanalytics, data analytics for beginners, data analytics tutorial, data analytics course, data analytics in excel, data analytics with excel, #dataanalyst, data analyst beginner, data analyst at google, data analyst bootcamp for beginners, data analyst basic, basics of data analyst, beginner data analyst, data analyst course, data analytics course playlist, data analytics basic, data analytics beginning, complete data analytics Key Highlights & Overview: Learning <strong>Data Analyst Complete Course</strong> is essential for modern technical workflows and software skills. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.