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    Mahmoud
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    استخدام برنامج SPSS في التحليل الإحصائي (مبتدئ - متقدم)

    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

    Location

    Online via webcam

    General info

    suitcase iconSkills:
    Age:
    Adults (18-64 years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    90 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.
    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
    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
    This course provides a comprehensive introduction to econometrics—the application of statistical methods to economic data. It equips students with the tools to model, estimate, interpret, and test economic relationships using real-world data. The course blends theory with hands-on empirical practice, emphasizing understanding the assumptions behind models, diagnosing issues like multicollinearity and heteroscedasticity, and making sound inferences. By the end of the course, students will be able to formulate econometric models, estimate parameters using regression techniques, interpret empirical results, and evaluate the reliability and limitations of statistical inferences in an economic context.

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    from 18.47€Online 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.

    Online reputation

    • Instructor since June 2023
    • Phone number verified
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    • Linkedin connected

    Availability of a typical week

    (GMT -04:00) New York
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    from 18.47€Online 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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