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Data analytics course
Master the art of data analysis and unleash insights with our Data Analytics Course!
Instructor: Aryan Singh
Description:
This Data Analytics Course is designed to provide participants with a comprehensive understanding of data analysis and its applications in various industries. The course covers statistical methods, data visualization techniques, and data interpretation skills to help you become proficient in analyzing and interpreting data to make informed business decisions.
Key Highlights:
- Statistical methods
- Data visualization techniques
- Data interpretation skills
What you will learn:
- Gain Proficiency in Statistical Methods
Learn how to apply statistical tools and techniques to analyze data and draw meaningful insights. - Master Data Visualization Techniques
Explore various data visualization tools and techniques to create impactful visuals for data analysis. - Enhance Data Interpretation Skills
Develop the ability to interpret complex data sets and extract valuable information for decision-making.
| Intro to data analytics | |||
| Who is Data Analyst and Data Analyst Roadmap | |||
| 15+ Interview, Revision guides and notes | |||
| Data Analytics course material | |||
| Data Analytics guide | |||
| Data engineering roadmap | |||
| Additional Interview, Revision guides and notes | |||
| Excel Notes | |||
| Stats Notes | |||
| SQL Notes | |||
| [NEW] Quick Data Analyst masterclasses - Dr.Ashok | |||
| Video1 Introduction to Data Analytics 37:00 | |||
| Video2 Essential Tools and Technologies 32:00 | |||
| Video3 Data Collection and Cleaning 40:00 | |||
| Video4 Exploratory Data Analysis 45:00 | |||
| Video5 Statistical Analysis and Hypothesis Testing 40:00 | |||
| Video6 Data Visualization Techniques 38:00 | |||
| Excel course | |||
| What is Excel 1:00 | |||
| Uses 2:00 | |||
| Startup Screen 3:00 | |||
| Ribbons 4:00 | |||
| Tricks | |||
| Workbook | |||
| Syntax 1:00 | |||
| Cell Selection 2:00 | |||
| Cell Copy 1:00 | |||
| Fill in different ways 3:00 | |||
| Click to Fill 3:00 | |||
| full range select 2:00 | |||
| drag , drop , copy 3:00 | |||
| Adding New Column and Row 1:00 | |||
| Delete Cell 1:00 | |||
| Undo / Redo 1:00 | |||
| Fomulas 3:00 | |||
| Relative 2:00 | |||
| Absolute 1:00 | |||
| Sum 1:00 | |||
| Sub | |||
| Multiply | |||
| Divide | |||
| Parentheses 2:00 | |||
| bold | |||
| italic | |||
| underline | |||
| Fill color | |||
| font color | |||
| font size | |||
| font style | |||
| Format Painter 1:00 | |||
| Colors 4:00 | |||
| Borders 3:00 | |||
| [NEW] Quick Python masterclass | |||
| 1 Python introduction with AI 5:00 | |||
| 2 Variables, functions, lists, tuple 8:00 | |||
| 3 For loops, if else, conditionals 4:00 | |||
| 4 Exploring Flask backend with Python 7:00 | |||
| 5 Explore Python and AI to do anything 8:00 | |||
| [NEW] Python Detailed Course | |||
| Overview | |||
| Installation , First Program and Variables 22:00 | |||
| Operators and Data Types_ int, float, complex, str, bool 21:00 | |||
| String , Lists and Escape Seq 25:00 | |||
| if , if else , elif and ternary 13:00 | |||
| Tuple , more methods and Unpacking 16:00 | |||
| Sets and Dictionary 27:00 | |||
| looping _ While and For 20:00 | |||
| Functions 11:00 | |||
| Higher order Function , recursion and lambda 13:00 | |||
| Class , objects and Inheritance 16:00 | |||
| Python course | |||
| 1 Introduction to Python 8:00 | |||
| 2 IDE , Google Colab 3:00 | |||
| 3 Comments 1:00 | |||
| 4 Basic Numeric 2:00 | |||
| 5 Variables | |||
| 6 Data type , Strings 11:00 | |||
| 7 List | |||
| 8 Tuple | |||
| 9 Dictionaries | |||
| 10 Sets | |||
| 11 Indexing 6:00 | |||
| 12 Slicing | |||
| 13 Arithmetic Operator 2:00 | |||
| 14 Comparison Operator 1:00 | |||
| 15 Logical Operators 2:00 | |||
| 16 Assignment Operator 2:00 | |||
| 17 Membership Operator | |||
| 18 List Concat and Multiplying | |||
| 19 String Concat and Multiplying | |||
| 20 Copy Dictionary | |||
| 21 Clear | |||
| 22 set union, intersection, difference | |||
| 23 Input Function 3:00 | |||
| 24 Help Function | |||
| 25 Round function 1:00 | |||
| 26 Sum Function | |||
| 27 Absolute Function | |||
| 28 Enumerate Function 1:00 | |||
| 29 zip Function 1:00 | |||
| 29 zip Function 1:00 | |||
| 30 Converting Data Types 2:00 | |||
| 31 Length Method | |||
| 32 Find Index | |||
| 33 Get | |||
| 34 Find | |||
| 35 Count | |||
| 36 More Dictionary Method 2:00 | |||
| 37 Sorting List | |||
| 38 Append | |||
| 39 update 1:00 | |||
| 40 replace | |||
| 41 Extend | |||
| 42 Insert | |||
| 43 set Default | |||
| 44 String Functions 4:00 | |||
| 45 _ Conditional - if else 3:00 | |||
| 46 _ elif 1:00 | |||
| 47 _ For in Loop 6:00 | |||
| 48 _ Range 7:00 | |||
| 49 _ While Loop 5:00 | |||
| 50 _ Functions 6:00 | |||
| 51 _ Arbitrary Arguments 2:00 | |||
| 52 _ Key value type of argument 2:00 | |||
| 53 _ Arbitrary Keyword Argument 1:00 | |||
| 54 _ Passing List as an Argument 1:00 | |||
| 55 _ Return 2:00 | |||
| 56 _ pass | |||
| 57 _ lambda 4:00 | |||
| 58 _ Filter 2:00 | |||
| 59 _ map 3:00 | |||
| 60 _ class objects 4:00 | |||
| 61 _ constructor 4:00 | |||
| 62 _ methods using class 2:00 | |||
| 63 _ Polymorphism 8:00 | |||
| 64 _ Inheritance and Super 5:00 | |||
| Web Scrapping using Python | |||
| Introduction 14:00 | |||
| Prerequisites , tools 1:00 | |||
| Rules for webscrapping 1:00 | |||
| request module 1:00 | |||
| client server in web scrapping 3:00 | |||
| editor and module install 5:00 | |||
| get post 5:00 | |||
| request get 4:00 | |||
| SQL Course | |||
| 1 _ What is Database and Why Database 4:00 | |||
| 2 _ What is SQL 3:00 | |||
| 3_ SQL vs MySQL 5:00 | |||
| 4 _ Installation 5:00 | |||
| 5 _ Show databases 1:00 | |||
| 6_ Create Database 1:00 | |||
| 7 _ Delete Database | |||
| 8 _ Use Database | |||
| 9 _ Tables 1:00 | |||
| 10 _ Data Types 6:00 | |||
| 11 _ Create Table 6:00 | |||
| 12 _ Delete Table | |||
| 13 _ Comments | |||
| 14 _ Insert value into Table 2:00 | |||
| 15 _ Select all | |||
| 16 _ Insert Multiple Values 2:00 | |||
| 17 _ Null 5:00 | |||
| 18 _ Default 2:00 | |||
| 19 _ Distinct 2:00 | |||
| 20 _ Where 2:00 | |||
| 21 _ Order By 2:00 | |||
| 22 _ AND Operator 5:00 | |||
| 23 _ OR Operator | |||
| 24 _ Not Operator | |||
| 25 _ Update Table 1:00 | |||
| 26 _ Update Warning | |||
| 27 _ Remove 1:00 | |||
| 28 _ Limit 2:00 | |||
| 29 _ MIN MAX 1:00 | |||
| 30 _ Count 2:00 | |||
| 31 _ Average 1:00 | |||
| 32 _ Sum | |||
| 33 _ Like 4:00 | |||
| 34 _ In 1:00 | |||
| 35 _ Between 2:00 | |||
| 36 _ Primary Key 5:00 | |||
| 37 _ Auto Increment 3:00 | |||
| 38 _ Concat 2:00 | |||
| 39 _ Substring 2:00 | |||
| 40 _ Replace 1:00 | |||
| 41 _ Reverse 2:00 | |||
| 42 _ Upper | |||
| 43 _ Lower | |||
| 44 _ Insert 1:00 | |||
| 45 _ Trim | |||
| 46 _ Unique 3:00 | |||
| 47 _ Check 2:00 | |||
| 48 _ Name 1:00 | |||
| 48 _ Name 1:00 | |||
| 49 _ Alter column 1:00 | |||
| 50 _ Alter Drop | |||
| 51 _ Alter Modify | |||
| Complete Statistics mastery | |||
| What is Statistics and Its Types 7:00 | |||
| Individuals and Variables 2:00 | |||
| Population and Sample 3:00 | |||
| Qualitative vs Quantitative 7:00 | |||
| Level Of Measurment 5:00 | |||
| Notation | |||
| Prameter vs Statistic | |||
| Surveys , Experiments , Observation 2:00 | |||
| Different Types of Sampling 9:00 | |||
| Data Primary and Secondary 4:00 | |||
| Sampling Error and Bias 5:00 | |||
| Probability 4:00 | |||
| Non negative 1:00 | |||
| All possible 1 | |||
| Complement 1:00 | |||
| Addition Theorem 2:00 | |||
| Mutually Exclusive 4:00 | |||
| Non Mutually Exclusive 2:00 | |||
| Multiplication Theorem Independent and Not Independent 7:00 | |||
| Bayes Theorem 11:00 | |||
| Mean 2:00 | |||
| Median 3:00 | |||
| Range | |||
| Mode | |||
| Variance and Standard Derivation 4:00 | |||
| Percentile 6:00 | |||
| Combination 7:00 | |||
| Power BI course | |||
| What is Power BI 3:00 | |||
| Importance and Some Uses 2:00 | |||
| Installation and Quick Overview 3:00 | |||
| Connect to CSV File 3:00 | |||
| Get Data from Excel | |||
| Theme and Save custom theme | |||
| More on Formatting 4:00 | |||
| Legend , X axis ,Y axis | |||
| More Charts Table etc | |||
| Creating A Graph | |||
| Preview Option | |||
| IncludeExclude 1:00 | |||
| Table | |||
| Pie Chart , Donut Chart 4:00 | |||
| Waterfall chart 7:00 | |||
| TreeMap 2:00 | |||
| Line Chart 2:00 | |||
| Ribbon 2:00 | |||
| Funnel 4:00 | |||
| Maps 2:00 | |||
| Table and Conditional Formatting 9:00 | |||
| [Masterclasses] Data Analyst masterclasses | |||
| Excel Mastery Beginner to Advanced 49:00 | |||
| SQL Class 18:00 | |||
| Introduction to Pandas | |||
| Data Visualization Masterclass 38:00 | |||
| Data Preprocessing Essentials | |||
| Mastering Data Analysis with Python | |||
| Mastering Linux Commands 8:00 | |||
| Data analytics project | |||
| Netflix Dashboard 26:00 | |||
| Sales dashboard 24:00 | |||
| Power BI Full Project - Sales Dashboard | |||
| 0 Overview 2:00 | |||
| [Sales Data] | |||
| 1 Data | |||
| 2 sales dashboard 2:00 | |||
| 3 Product name , city , sale 5:00 | |||
| 4 totals 4:00 | |||
| 5 Consumer , products 1:00 | |||
| 6 pie cahrt 4:00 | |||
| 7 donut chart | |||
| 8 sum of sales and profits 1:00 | |||
| 9 final | |||
| Power BI Full Project - Netflix Dashboard | |||
| 0 Overview 1:00 | |||
| Netflix dashboard | |||
| 1 Background 3:00 | |||
| 2 . Totals 7:00 | |||
| 3 rating by shows | |||
| 4 count of shows 3:00 | |||
| 5 map 3:00 | |||
| 6. release dates 1:00 | |||
| Data Analyst Handwritten Notes | |||
| Python-Handwritten-Notes 🔥 (64 pages) | |||
| SQL Handwritten Notes💡 (41 pages) | |||
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