Section 1 : Part 1 Introduction
Lecture 1 About Certification

Section 2 : Intro to Data and Data Science The Different Data Science Fi
Lecture 1 Why Are There So Many Business and Data Science Bu 00:05:22 Duration
Lecture 2 Analysis vs Analytics 00:03:51 Duration
Lecture 3 Intro to Business Analytics Data Analytics andData 00:08:26 Duration
Lecture 4 Adding Business Intelligence (BI), Machine Learnin 00:09:31 Duration
Lecture 5 An Overview of our Data Science Infographic 00:04:03 Duration

Section 3 : Intro to Data and Data Science The Relationship between Diff
Lecture 1 When are Traditional data, Big Data, BI, Tradition 00:07:19 Duration

Section 4 : Intro to Data and Data Science What is the Purpose of each D
Lecture 1 Why do we Need each of these Disciplines 00:04:45 Duration

Section 5 : Intro to Data and Data Science Common Data Science Technique
Lecture 1 Traditional Data- Techniques 00:08:14 Duration
Lecture 2 Traditional Data- Real-life Examples 00:01:45 Duration
Lecture 3 Big Data- Techniques 00:04:26 Duration
Lecture 4 Big Data- Real-life Examples 00:01:32 Duration
Lecture 5 Business Intelligence (BI)- Techniques 00:06:46 Duration
Lecture 6 Business Intelligence (BI)- Real-life Examples 00:01:43 Duration
Lecture 7 Traditional Methods- Techniques 00:09:08 Duration
Lecture 8 Traditional Methods- Real-life Examples 00:02:46 Duration
Lecture 9 Machine Learning (ML)- Techniques 00:06:55 Duration
Lecture 10 Machine Learning (ML)- Types of Machine Learning 00:08:13 Duration
Lecture 11 Machine Learning (ML)- Real-life Examples 00:02:12 Duration

Section 6 : Intro to Data and Data Science Common Data Science Tools
Lecture 1 Programming Languages & Software Employed in Data 00:05:51 Duration

Section 7 : Intro to Data and Data Science Data Science Career Paths
Lecture 1 Data Science Job Positions- What do they Involve a 00:03:29 Duration

Section 8 : Intro to Data and Data Science Dispelling Common Misconcepti
Lecture 1 Dispelling common Misconceptions 00:04:10 Duration

Section 9 : Part 2 Statistics PopulationandSample
Lecture 1 Population vs sample 00:04:02 Duration

Section 10 : Statistics Descriptive Statistics
Lecture 1 Types of Data 00:04:33 Duration
Lecture 2 Levels of Measurement 00:03:44 Duration
Lecture 3 Categorical Variables - Visualization Techniques 00:04:53 Duration
Lecture 4 Categorical Variables Exercise
Lecture 5 Numerical Variables - Frequency Distribution Table 00:03:10 Duration
Lecture 6 Numerical Variables Exercise
Lecture 7 The Histogram 00:02:14 Duration
Lecture 8 Histogram Exercise
Lecture 9 Cross Table and Scatter Plot 00:04:44 Duration
Lecture 10 Cross Tables and Scatter Plots Exercise
Lecture 11 Mean, median and mode 00:04:20 Duration
Lecture 12 Mean, Median and Mode Exercise
Lecture 13 Skewness 00:02:38 Duration
Lecture 14 Skewness Exercise
Lecture 15 Variance 00:05:55 Duration
Lecture 16 Variance Exercise
Lecture 17 Standard Deviation and Coefficient of Variation 00:04:41 Duration
Lecture 18 Standard Deviation and CoefficientofVariationExerc
Lecture 19 Covariance 00:03:24 Duration
Lecture 20 Covariance Exercise
Lecture 21 Correlation Coefficient 00:03:18 Duration
Lecture 22 Correlation Coefficient Exercise

Section 11 : Statistics Practical ExampleDescriptive Statistics
Lecture 1 Practical Example
Lecture 2 Practical Example Exercise

Section 12 : StatisticsInferentialStatisticsFundamentals
Lecture 1 Introduction 00:01:01 Duration
Lecture 2 What is a Distribution 00:04:33 Duration
Lecture 3 The Normal Distribution 00:03:54 Duration
Lecture 4 The Standard Normal Distribution 00:03:31 Duration
Lecture 5 The Standard Normal Distribution Exercise
Lecture 6 Central Limit Theorem 00:04:20 Duration
Lecture 7 Standard error 00:01:27 Duration
Lecture 8 Estimators and Estimates 00:03:08 Duration

Section 13 : StatisticsInferentialStatisticsConfidenceIntervals
Lecture 1 What are Confidence Intervals 00:02:42 Duration
Lecture 2 Confidence Intervals; Population Variance Known; z 00:08:02 Duration
Lecture 3 ConfidenceIntervalsPopulationVarianceKnownzscoreEx
Lecture 4 Confidence interval clarifications 00:04:39 Duration
Lecture 5 Student's T Distribution 00:03:23 Duration
Lecture 6 Confidence Intervals; Population Variance Unknown; 00:04:37 Duration
Lecture 7 Confidence IntervalsPopulationVarianceUnknowntscor
Lecture 8 Margin of Error 00:04:53 Duration
Lecture 9 Confidence intervals. Two means. Dependent samples 00:06:04 Duration
Lecture 10 Confidence intervalsTwomeansDependentsamplesExerci
Lecture 11 Confidence intervals. Two means. Independent sampl 00:04:31 Duration
Lecture 12 Confidenceintervals.TwomeansIndependentsamples (Pa
Lecture 13 Confidence intervals. Two means. Independent sampl 00:03:58 Duration
Lecture 14 ConfidenceintervalsTwomeansIndependentsamples (Par
Lecture 15 Confidence intervals. Two means. Independent sampl 00:01:27 Duration

Section 14 : Statistics Practical ExampleInferentialStatistics
Lecture 1 Practical Example- Inferential Statistics 00:10:06 Duration
Lecture 2 Practical ExampleInferentialStatisticsExercise

Section 15 : StatisticsHypothesisTesting
Lecture 1 The Null vs Alternative Hypothesis 00:05:52 Duration
Lecture 2 Further ReadingonNullandAlternativeHypothesis
Lecture 3 Rejection Region and Significance Level 00:07:06 Duration
Lecture 4 Type I Error and Type II Error 00:04:14 Duration
Lecture 5 Test for the Mean. Population Variance Known 00:06:35 Duration
Lecture 6 Test for theMeanPopulationVarianceKnownExercise
Lecture 7 p-value 00:04:49 Duration
Lecture 8 Remove - INTRODUCTION TO BRAINMEASURES PROCTOR SYS
Lecture 9 Test for the Mean.PopulationVarianceUnknownExercis
Lecture 10 Test for the Mean. Dependent Samples 00:05:18 Duration
Lecture 11 Test for the Mean. Dependent SamplesExercise
Lecture 12 Test for the mean. Independent samples (Part 1) 00:04:22 Duration
Lecture 13 Test for the mean.Independentsamples(Part 1).Exerc
Lecture 14 Test for the mean. Independent samples (Part 2) 00:04:27 Duration
Lecture 15 Test for the mean.Independentsamples(Part 2)

Section 16 : Statistics Practical ExampleHypothesisTesting
Lecture 1 Practical Example- Hypothesis Testing 00:07:16 Duration
Lecture 2 Practical ExampleHypothesisTestingExercise

Section 17 : Part 3 RelationalDatabaseTheory&IntroductiontoSQL
Lecture 1 Why use SQL 00:03:18 Duration
Lecture 2 Why use MySQL 00:01:57 Duration
Lecture 3 Introducing Databases 00:04:44 Duration
Lecture 4 Relational Database Fundamentals 00:04:51 Duration
Lecture 5 Comparing Databases and Spreadsheets 00:07:05 Duration
Lecture 6 Important Database Terminology 00:04:17 Duration
Lecture 7 The Concept of Relational Schemas- Primary Key
Lecture 8 The Concept of Relational Schemas- Foreign Key 00:04:59 Duration
Lecture 9 The Concept of Relational Schemas- Unique Key and 00:03:08 Duration
Lecture 10 The Concept of Relational Schemas- Relationships 00:04:39 Duration

Section 18 : SQLInstallandgettoknowMySQL
Lecture 1 Installing MySQL Workbench and Server 00:10:49 Duration
Lecture 2 Installing Visual C
Lecture 3 Installing MySQL on macOS and Unixsystems
Lecture 4 The Client-Server Model
Lecture 5 Linking GUI with the MySQL Server 00:02:34 Duration
Lecture 6 Read me!!
Lecture 7 Creating a New User and a New Connection to it 00:06:18 Duration
Lecture 8 Familiarize Yourself with the MySQL Interface 00:05:09 Duration

Section 19 : SQL Best SQLPractices
Lecture 1 Coding Tips and Best Practices - I. 00:05:34 Duration
Lecture 2 Coding Tips and Best Practices - II 00:04:12 Duration
Lecture 3 Remove - INTRODUCTION TO BRAINMEASURES PROCTOR SYS

Section 20 : SQL Loading the employeesDatabase
Lecture 1 Loading the 'employees' Database

Section 21 : SQL PracticalApplicationoftheSQLSELECTStatement
Lecture 1 Using SELECT - FROM 00:04:57 Duration
Lecture 2 Using SELECT - FROM - Exercise
Lecture 3 Using SELECT - FROM - Solution
Lecture 4 Using WHERE 00:02:30 Duration
Lecture 5 Using WHERE - Exercise
Lecture 6 Using WHERE - Solution
Lecture 7 Using AND 00:02:14 Duration
Lecture 8 Using AND - Exercise
Lecture 9 Using AND - Solution
Lecture 10 Using OR 00:03:36 Duration
Lecture 11 Using OR - Exercise
Lecture 12 Using OR - Solution
Lecture 13 Operator Precedence and Logical Order 00:03:36 Duration
Lecture 14 Operator PrecedenceandLogicalOrderExercise
Lecture 15 Operator PrecedenceandLogicalOrderSolution
Lecture 16 Using IN - NOT IN 00:03:12 Duration
Lecture 17 Using IN - NOT IN - Exercise 1
Lecture 18 Using IN - NOT IN - Solution 1
Lecture 19 Using IN - NOT IN - Exercise 2
Lecture 20 Using IN - NOT IN - Solution 2
Lecture 21 Using LIKE - NOT LIKE 00:03:36 Duration
Lecture 22 Using LIKE - NOT LIKE - Exercise
Lecture 23 Using LIKE - NOT LIKE - Solution
Lecture 24 Using LIKE - NOT LIKE - Solution
Lecture 25 Using Wildcard characters - Exercise
Lecture 26 UsingWildcardcharactersSolution
Lecture 27 UsingWildcardcharactersSolution
Lecture 28 Using BETWEEN - AND - Exercise
Lecture 29 Using BETWEEN - AND - Solution
Lecture 30 Using IS NOT NULL - IS NULL 00:01:38 Duration
Lecture 31 Using IS NOT NULL - IS NULL - Exercise
Lecture 32 Using IS NOT NULL - IS NULL - Solution
Lecture 33 Using Other Comparison Operators 00:04:30 Duration
Lecture 34 Using Other Comparison OperatorsExercise.docx
Lecture 35 Using Other Comparison OperatorsSolution
Lecture 36 Using SELECT DISTINCT 00:02:06 Duration
Lecture 37 Using SELECTDISTINCTExercise
Lecture 38 Using SELECT DISTINCT - Solution
Lecture 39 Getting to Know Aggregate Functions 00:05:25 Duration
Lecture 40 Getting to Know Aggregate Functions Exercise
Lecture 41 Getting to Know Aggregate FunctionsSolution
Lecture 42 Using ORDER BY 00:03:46 Duration
Lecture 43 Using ORDER BY - Exercise
Lecture 44 Using ORDER BY - Solution
Lecture 45 Using GROUP BY 00:06:00 Duration
Lecture 46 Using Aliases (AS) 00:02:09 Duration
Lecture 47 Using Aliases (AS) - Exercise
Lecture 48 Using Aliases (AS) - Solution
Lecture 49 Using HAVING 00:03:26 Duration
Lecture 50 Using HAVING - Exercise
Lecture 51 Using HAVING - Solution
Lecture 52 Using WHERE vs HAVING - Part I
Lecture 53 Using WHERE vs HAVING - Part II 00:03:08 Duration
Lecture 54 Using WHERE vs HAVING - Part II - Exercise
Lecture 55 Using WHERE vs HAVING - Part II - Solution
Lecture 56 Using LIMIT 00:04:52 Duration
Lecture 57 Using LIMIT - Exercise
Lecture 58 Using LIMIT - Solution

Section 22 : SQL ExpandingonMySQLAggregateFunctions
Lecture 1 Applying COUNT( 00:04:01 Duration
Lecture 2 Applying COUNT() - Exercise
Lecture 3 Applying COUNT() - Solution
Lecture 4 Applying SUM() 00:01:31 Duration
Lecture 5 Applying SUM() - Exercise
Lecture 6 Applying SUM() - Solution
Lecture 7 MIN() and MAX() 00:01:15 Duration
Lecture 8 MIN() and MAX() - Exercise
Lecture 9 MIN() and MAX() - Solution
Lecture 10 Applying AVG() 00:01:58 Duration
Lecture 11 Applying AVG() - Exercise
Lecture 12 Applying AVG() - Solution
Lecture 13 Rounding Numbers with ROUND() 00:02:06 Duration
Lecture 14 Rounding Numbers with ROUND() - Exercise
Lecture 15 Rounding Numbers with ROUND() Solution

Section 23 : SQL SQL JOINs
Lecture 1 What are JOINs 00:04:23 Duration
Lecture 2 What are JOINs? - Exercise 1
Lecture 3 What are JOINs? - Exercise 2
Lecture 4 The Functionality of INNER JOIN - Part I 00:06:03 Duration
Lecture 5 The Functionality of INNER JOIN - Part II 00:05:34 Duration
Lecture 6 The FunctionalityofINNER JOIN PART II Exercise
Lecture 7 The Functionality of INNER JOIN PART II Solution
Lecture 8 Extra Info on Using Joins 00:04:10 Duration
Lecture 9 Duplicate Rows 00:04:21 Duration
Lecture 10 The Functionality of LEFT JOIN - Part I 00:04:31 Duration
Lecture 11 The Functionality of LEFT JOIN - Part II 00:05:46 Duration
Lecture 12 The Functionality of LEFT JOIN Part II Exercise
Lecture 13 The Functionality of LEFT JOIN - Part II Solution
Lecture 14 The Functionality of RIGHT JOIN 00:04:31 Duration
Lecture 15 Differences between the New and the Old Join Synta 00:04:18 Duration
Lecture 16 Differences between the New andtheOldJoinSyntaxEx
Lecture 17 Differences between the New andtheOldJoinSyntaxSol
Lecture 18 Using JOIN and WHERE Together 00:02:54 Duration
Lecture 19 Important Prevent Error Code 1055
Lecture 20 Using JOIN and WHERE Together Exercise
Lecture 21 Using JOIN and WHERE Together Solution
Lecture 22 The Functionality of CROSS JOIN 00:07:42 Duration
Lecture 23 The Functionality of CROSS JOIN Exercise 1
Lecture 24 The Functionality of CROSS JOIN Solution 1
Lecture 25 The Functionality of CROSS JOIN Exercise 2
Lecture 26 The Functionality of CROSS JOIN Solution 2
Lecture 27 Combining Aggregate Functions with Joins
Lecture 28 JOIN More than Two Tables 00:04:27 Duration
Lecture 29 JOIN More than Two Tables Exercise
Lecture 30 JOIN More than Two Tables - Solution
Lecture 31 Remove - INTRODUCTION TO BRAINMEASURES PROCTOR SYS
Lecture 32 Top Tips for Joins - Exercise
Lecture 33 Top Tips for Joins - Solution
Lecture 34 The Differences Between UNION and UNION ALL 00:05:45 Duration
Lecture 35 The Differences Between UNION andUNIONALLExercise
Lecture 36 The DifferencesBetweenUNIONandUNIONALLSolution

Section 24 : SQL SQL Subqueries
Lecture 1 SQL Subqueries with IN Embedded Inside WHERE 00:04:32 Duration
Lecture 2 SQL Subqueries with INEmbeddedInsideWHERE Exercise
Lecture 3 SQL Subqueries with IN Embedded InsideWHERE Soluti
Lecture 4 SQL Subqueries with EXISTS-NOT EXISTS Embedded Ins 00:03:43 Duration
Lecture 5 SQL Subqueries with EXISTSNOTEXISTSEmbedded Inside
Lecture 6 SQL Subqueries with EXISTSNOTEXISTSEmbedded Insid
Lecture 7 SQL Subqueries Nested in SELECT and FROM 00:07:57 Duration
Lecture 8 SQL Subqueries Embedded inSELECT andFROM Exercise
Lecture 9 SQL Subqueries Embedded inSELECT andFROM Exercise
Lecture 10 SQL SubqueriesNestedinSELECTandFROM Solution 2

Section 25 : SQL Stored Routines
Lecture 1 Defining Stored Routines 00:03:26 Duration
Lecture 2 Create Stored Procedures with MySQL Syntax 00:04:32 Duration
Lecture 3 An Example of Stored Procedures Part I 00:04:32 Duration
Lecture 4 An Example of Stored Procedures Part II 00:04:49 Duration
Lecture 5 An Example ofStoredProceduresPartIIExercise
Lecture 6 An Example ofStoredProceduresPartIISolution
Lecture 7 Creating a Procedure in MySQL Another Way 00:03:19 Duration
Lecture 8 Create Stored Procedures with an Input Parameter 00:03:54 Duration
Lecture 9 Create Stored Procedures with an Output Parameter 00:03:20 Duration
Lecture 10 Create Stored Procedures withanOutputParameterExer
Lecture 11 Stored Procedures with anOutputParameterSolution
Lecture 12 SQL Variables 00:06:50 Duration
Lecture 13 SQL Variables Exercise
Lecture 14 SQL VariablesSolution
Lecture 15 The Benefit of User-Defined Functions in MySQL 00:06:14 Duration
Lecture 16 Error Code 1418
Lecture 17 The Benefit of UserDefined FunctionsinMySQL Exerci
Lecture 18 The Benefit ofUserDefinedFunctionsinMySQL Solution
Lecture 19 Concluding Stored Routines 00:03:55 Duration

Section 26 : SQL The CASE Statement
Lecture 1 The SQL CASE Statement 00:05:57 Duration
Lecture 2 The SQL CASE Statement Exercise 1
Lecture 3 THE SQL CASE Statement - Solution 1
Lecture 4 THE SQL CASE Statement - Exercise 2
Lecture 5 THE SQL CASE Statement - Solution 2
Lecture 6 THE SQL CASE Statement Exercise 3
Lecture 7 THE SQL CASE Statement - Solution 3

Section 27 : Part 4 Introduction to Tableau
Lecture 1 Why Use Tableau- Make Your Data Make an Impact 00:04:23 Duration
Lecture 2 Let's Download Tableau Public 00:02:03 Duration
Lecture 3 Connecting Data in Tableau 00:01:04 Duration
Lecture 4 Remove - INTRODUCTION TO BRAINMEASURES PROCTOR SYS
Lecture 5 Let's Create our first Chart in Tableau! 00:07:12 Duration

Section 28 : Tableau Tableau functionalities
Lecture 1 Duplicating a Sheet 00:02:49 Duration
Lecture 2 Creating a Table 00:04:49 Duration
Lecture 3 Creating Custom Fields 00:02:29 Duration
Lecture 4 Creating a Custom Field and Adding Calculations to 00:03:41 Duration
Lecture 5 Adding Totals and Subtotals 00:02:03 Duration
Lecture 6 Adding a Custom Calculation 00:03:12 Duration
Lecture 7 Inserting a Filter 00:02:21 Duration
Lecture 8 Working with Joins in Tableau 00:04:33 Duration
Lecture 9 Working with Joins in Tableau 00:04:33 Duration

Section 29 : Tableau The Tableau Exercise
Lecture 1 Introduction to the Exercise 00:02:06 Duration
Lecture 2 Let's Create a Dashboard - Visualizing the Three C
Lecture 3 Using Joins in Tableau 00:05:16 Duration
Lecture 4 Performing a Numbers Check - Attempt #1 00:03:49 Duration
Lecture 5 Blending Data in Tableau 00:05:49 Duration
Lecture 6 Performing a Numbers Check - Attempt #2 00:03:41 Duration
Lecture 7 First Chart 00:04:05 Duration
Lecture 8 Second Chart 00:03:07 Duration
Lecture 9 Third Chart 00:02:39 Duration
Lecture 10 Creating and Formatting a Dashboard 00:04:26 Duration
Lecture 11 Adding Interactive Filters for Improved Analysis 00:03:55 Duration
Lecture 12 Interactive Filters - fix 00:01:38 Duration

Section 30 : Part 5CombiningSQLandTableau Introduction
Lecture 1 Introduction to Software Integration 00:05:20 Duration
Lecture 2 Combining SQL and Tableau 00:04:51 Duration
Lecture 3 Loading the Database 00:01:24 Duration
Lecture 4 Loading the Database

Section 31 : CombiningSQLandTableauProblem 1
Lecture 1 Problem 1- Task 00:03:16 Duration
Lecture 2 Problem 1 Task Text
Lecture 3 Important clarification!
Lecture 4 Problem 1- Solution in SQL 00:04:42 Duration
Lecture 5 Problem 1 Solution in SQL Code
Lecture 6 Exporting Your Output from SQL and Loading it in T 00:04:13 Duration
Lecture 7 Chart 1- Visualizing the Solution in Tableau - Pa 00:06:18 Duration
Lecture 8 Chart 1- Visualizing the Solution in Tableau - Par 00:05:25 Duration

Section 32 : CombiningSQLandTableauProblem 2
Lecture 1 Problem 2- Task 00:03:50 Duration
Lecture 2 Problem 2 Task - Text
Lecture 3 Problem 2- Solution in SQL 00:03:43 Duration
Lecture 4 Problem 2 Solution in SQL Code
Lecture 5 Chart 2- Visualizing the Solution in Tableau 00:06:09 Duration

Section 33 : CombiningSQLandTableauProblem 3
Lecture 1 Problem 3- Task 00:02:21 Duration
Lecture 2 Problem 3 Task Text
Lecture 3 Problem 3- Solution in SQL 00:03:15 Duration
Lecture 4 Problem 3 Solution in SQLCode
Lecture 5 Chart 3- Visualizing the Solution in Tableau 00:04:57 Duration

Section 34 : Combining SQL andTableauProblem 4
Lecture 1 Problem 4- Task 00:02:46 Duration
Lecture 2 Problem 4 Task Text
Lecture 3 Problem 4- Solution in SQL 00:02:48 Duration
Lecture 4 Problem 4 Solution in SQL Code
Lecture 5 Chart 4- Visualizing the Solution in Tableau 00:03:22 Duration

Section 35 : CombiningSQLandTableauProblem 5
Lecture 1 Problem 5- Organizing Charts 1-4 into a Beautiful 00:06:04 Duration

Section 36 : Part 6 Introduction toProgrammingwithPython
Lecture 1 A 5-minute explanation of Programming 00:05:04 Duration
Lecture 2 Why use Python 00:05:11 Duration
Lecture 3 Why use Jupyter 00:03:29 Duration
Lecture 4 How to Install Python and Jupyter 00:06:49 Duration
Lecture 5 Understanding Jupyter’s Interface – Dashboard 00:03:16 Duration
Lecture 6 Understanding Jupyter’s Interface – Prerequisites 00:06:15 Duration
Lecture 7 Python 2 vs Python 3 00:02:47 Duration

Section 37 : Python Python Variables andData Types
Lecture 1 Python Variables 00:04:52 Duration
Lecture 2 Understanding Numbers and Boolean Values 00:03:06 Duration
Lecture 3 Strings 00:05:44 Duration

Section 38 : PythonPythonSyntaxFundamentals
Lecture 1 The Arithmetic Operators of Python 00:03:24 Duration
Lecture 2 What is the Double Equality Sign 00:01:34 Duration
Lecture 3 How to Reassign Values 00:01:08 Duration
Lecture 4 How to Add Comments 00:01:25 Duration
Lecture 5 Understanding Line Continuation 00:00:50 Duration
Lecture 6 How to Index Elements 00:01:18 Duration
Lecture 7 How to Structure Your Code with Indentation 00:01:45 Duration

Section 39 : Python Other Python Operators
Lecture 1 Python's Comparison Operators 00:02:10 Duration
Lecture 2 Python's Logical and Identity Operator 00:05:36 Duration

Section 40 : Python Conditional Statements
Lecture 1 Getting to know the IF Statement 00:03:04 Duration
Lecture 2 Adding an ELSE statement 00:02:39 Duration
Lecture 3 Else if, for Brief – ELIF 00:05:33 Duration
Lecture 4 An Additional Explanation of Boolean Values 00:02:13 Duration

Section 41 : Python Functions
Lecture 1 How to Define a Function in Python 00:02:03 Duration
Lecture 2 How to Create a Function with a Paramete 00:03:49 Duration
Lecture 3 Define a Function in Another Way 00:02:35 Duration
Lecture 4 How to use a Function within a Function 00:01:49 Duration
Lecture 5 Use Conditional Statements and Functions Together 00:03:07 Duration
Lecture 6 How to Create Functions Which Contain a Few Argume 00:01:14 Duration
Lecture 7 Built-In Functions in Python Worth Knowing 00:03:56 Duration

Section 42 : Python Python Sequences
Lecture 1 Introduction to Lists 00:04:02 Duration
Lecture 2 Using Methods in Python 00:03:22 Duration
Lecture 3 What is List Slicing 00:04:31 Duration
Lecture 4 Working with Tuples 00:03:13 Duration
Lecture 5 Python Dictionaries 00:04:04 Duration

Section 43 : Python Using Iterations
Lecture 1 Using For Loops 00:02:27 Duration
Lecture 2 Using While Loops and Incrementing 00:02:27 Duration
Lecture 3 Use the range() Function to Create Lists 00:02:23 Duration
Lecture 4 Combine Conditional Statements and Loops 00:03:06 Duration
Lecture 5 All In – Conditional Statements, Functions, and Lo 00:02:27 Duration
Lecture 6 How to Iterate over Dictionaries 00:03:08 Duration