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    Mahmoud
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    Data Analytics, Statistics, and Statistical Analysis

    Translated by Google. Click to view original.
    Descriptive statistics
    Types of variables
    Frequency tables
    Center dimensions
    Diffusion measures
    Torsion scales
    Display data in one variable
    The data display is variable
    Confidence intervals for one and two population parameters
    Test hypothesis for one population parameter and two population parameters
    Analysis of variance (ANOVA)
    Correlation analysis
    Regression analysis

    Location

    Online via webcam

    General info

    Age:
    Adults (18-64 years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    120 minutes
    The class is taught in:English, Arabic

    About Me

    PHD in Statistics , Cairo university, Egypt.
    More than 10 years of experience in teaching statistics and relevant subjects, such as Statistics and Probability, Data Analytics, Mathematics, Calculus, Regression Analysis, Linear Algebra, Non parametric Statistics, operation research, and Econometrics
    Teaching and analyzing data using Excel, SPSS, Stata, Minitab and R-programming

    Education

    PHD in Statistics, Cairo university
    Master degree in Statistics, Cairo University, Egypt
    Bachelor degree in Statistics, minor computer science Cairo University, Egypt

    Experience / Qualifications

    More than 10 years of experience in teaching statistics and relevant subjects, such as Statistics and Probability, Data Analytics, Mathematics, Calculus, Regression Analysis, Linear Algebra, Non parametric Statistics, operation research, and Econometrics
    Teaching and analyzing data using Excel, SPSS, Stata, Minitab and R-programming.
    Course Description Running the Program Browsing the SPSS menus creating new file opening existing file importing data file variable view creating new variable Types of variables entering data descriptive statistics frequency tables graphical presentation confidence intervals for one population parameter and two population parameter testing hypothesis for one population parameter and two population parameter Analysis of Variance ANOVA Regression Analysis
    module 1: Introduction to Data Analysis Understanding Data Analysis: Purpose and Scope Overview of Excel as a Data Analysis Tool module 2:Introduction to Excel Interface and Tools Data Entry and Formatting Basic Formulas and Functions SUM, AVERAGE, COUNT, etc. Introduction to Cell Referencing (Relative, Absolute, Mixed) Module 3:Data Cleaning and Preparation Importing Data from Various Sources (CSV, Text, Databases) Data Cleaning Techniques Removing Duplicates Handling Missing Data Data Validation Working with Text Functions LEFT, RIGHT, MID, TRIM, CONCATENATE Module 4: Data Analysis Tools in Excel Sorting and Filtering Data Conditional Formatting Using PivotTables and Pivot Charts Subtotals and Summarizing Data Data Tables and Scenario Analysis Practical Exercise: Analyzing Sales Data Module 5: Advanced Functions and Formulas Logical Functions IF, AND, OR, NOT Lookup Functions VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP Mathematical and Statistical Functions ROUND, RANK, STDEV, MEDIAN Array Formulas Practical Exercise: Creating a Dynamic Dashboard Module 6: Data Visualization Principles of Data Visualization Creating Charts and Graphs Line, Bar, Pie, Scatter, Combo Charts Formatting and Customizing Charts Using Sparklines for Quick Insights

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    from C$18.65Online via webcam

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    Availability of a typical week

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    from C$18.65Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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