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كل الفيديوهات منظمة حسب المرحلة — شغّل مباشرة من الموقع

الكل (277) Phase 1 · Excel Advanced + SQL Foundations (95) Phase 2 · Power BI + Python for Analysis (135) Phase 3 · Statistics + Power Pivot/DAX + Git & GitHub (47)

Power BI + Python for Analysis

135 فيديو

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1- مقدمة

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2- Mission

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3- Customers

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4- Text Column

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5- Number Column

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6- Date

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7- Index and Conditional Column

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8- Grouping and Advanced Grouping

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9- Merge Quires

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10- Append Quires.ts

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11- مشاكل قد تواجهك أثناء استخدام البرنامج

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12- كيفية تغيير نوع البيانات من Power BI

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13- Normalization Concept

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14- Merge Vs. Relationships

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15- Relationship types

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16- Fields

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17- Active & Inactive Relationships

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18- Hidding fields

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19- Calculated Column

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20- Measurs

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21- DAX syntax

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22- Basic Date & Time Functions

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23- Basic Logical Functions

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24- Text Functions

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#001 - Introduction And What's Python

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#002 - What I Need To Learn ？

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#003 - Syntax And Your First App

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#004 - Comments And How To Use It

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#005 - Dealing With Data in Python

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#006 - Some Data Types Overview

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#007 - Variables Part One

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#008 - Variables Part Two

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#009 - Escape Sequences Characters

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#010 - Concatenation And Training

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#011 - Strings

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#012 - Strings - Indexing And Slicing

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#013 - Strings Methods Part One

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#014 - Strings Methods Part Two

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#015 - Strings Methods Part Three

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#016 - Strings Methods Part Four

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#017 - Strings Formatting The Old Way

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#018 - Strings Formatting The New Ways

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#019 - Numbers

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#020 - Arithmetic Operators

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#021 - Lists

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#022 - Lists Methods Part One

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#023 - Lists Methods Part Two

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#024 - Tuples And Methods Part One

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#025 - Tuples And Methods Part Two

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#026 - Set

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#027 - Set Methods Part One

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#028 - Set Methods Part Two

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#029 - Set Methods Part Three

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#030 - Dictionary

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#031 - Dictionary Methods Part One

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#032 - Dictionary Methods Part Two

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#033 - Boolean

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#034 - Boolean Operators

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#035 - Assignment Operators

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#036 - Comparison Operators

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#037 - Type Conversion

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#038 - User Input

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#039 - Practical - Email Slice

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#040 - Practical - Your Age Full Details

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#041 - Control Flow - If, Elif, Else

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#042 - Control Flow - Nested If And Training

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#043 - Control Flow - Ternary Conditional Operator

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#044 - Calculate Age Advanced Version and Training

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#045 - Membership Operators

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#046 - Practical Membership Control

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#047 - Loop - While and Else

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#048 - Loop - While Training's

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#049 - Loop - While Training's Bookmark Manager

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#050 - Loop - While Training's Password Guess

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#051 - Loop For and Else

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#052 - Loop For Training's

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#053 - Loop For Nested Loop

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#054 - Loop - Break Continue Pass

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#055 - Loop Advanced Dictionary

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#056 - Function And Return

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1- Related

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2- Basic Math & State Functions

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3- Count, counta, distinctcount & countrows

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4- Calculate

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5- Calculate - part 2

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6- ALL & Filter

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7- Using X

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1- Install Anaconda

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2- Numpy Part 1 ? Arrays

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3- Numpy Part 2 ? Operations

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3- Numpy Part 3 ? Indexing & Slicing

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4- Numpy Part 4 ? Advanced

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5- Pandas Part 1 ? Series & DataFrame

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6- Pandas Part 2 ? Reading CSV/Excel

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7- Pandas Part 3 ? Filtering & Selection

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8- Pandas Part 4 ? Groupby

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9- Pandas Part 5 ? Merge & Join

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10 - Pandas Part 6 ? Apply & Lambda

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11- Pandas Part 7 ? Pivot Table

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12- Pandas Part 8 ? Data Cleaning

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8- Tasks

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9- Agenda

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1- Create Report

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2- Filtering Options

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3- Using Filters

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4- Slicer

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5- Cards

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6- kpi Card

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7- Text Card

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8- Maps

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9- Treemap

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10- Product Details

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11- Gauge

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12- Edit interaction

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13- Drill through Filter

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14- Bookmarks

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1- Pandas Part 9 ? (Advanced Operations)

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2- Pandas Part 10 ? (Advanced Operations)

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3- Pandas Part 11 ? (Advanced Operations)

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4- Pandas Part 12 ? (Advanced Operations)

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5- Matplotlib Part 1 ? Line & Bar

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6- Matplotlib Part 2.mp4

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7- Matplotlib Part 3.mp4

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8- Matplotlib Part 4.mp4

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9- Matplotlib Part 5.mp4

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10 - Matplotlib Part 6

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11- Matplotlib Part 7

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12- Matplotlib Part 8

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13- Matplotlib Part 9

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14- Seaborn

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15- Understand Your Data

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16- Data Cleaning

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17- Data Preprocessing

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18- Project 1

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19- Project 2