Introduction to Modern Econometrics with applications

From 37.19 C$ /h

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.

Extra information

Week 1: Introduction to Econometrics

Week 2: Simple Linear Regression Model

Week 3: Inference in the Simple Regression Model

Week 4–5: Multiple Linear Regression Model

Week 6: Violations of Classical Assumptions I – Heteroscedasticity

Week 7: Violations II – Autocorrelation

Week 8: Model Specification and Selection

Week 9: Dummy Variables and Qualitative Information

Week 10: Introduction to Time Series Econometrics

Week 11: Simultaneous Equation Models (Optional for Intro Level)

Location

Online from Egypt

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.

Age

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

60 minutes

90 minutes

The class is taught in

English

Arabic

Skills

Math

Statistics

Economics for adults

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Data Analysis using Excel " Analysis and Visualization"

30.04 C$ /h

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

استخدام برنامج SPSS في التحليل الإحصائي (مبتدئ - متقدم)

30.04 C$ /h

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

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Raef

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Graduated and Experienced for more than 18 years, I give private lessons in Mathematics - Analysis - Matrices - Statistics - Algebra - Geometry - Physics - Chemistry - Biology, Geology to students of French program of Terminales, patent and secondary or international program IB in English (Grade 8, 9, 10, 11, 12) or entrance exams and medical university preparatory classes or 1st and 2nd university years for the academic year 2022/2023 either at home or by internet online by a very modern and professional method much better than webcam and better than on site.
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*Note that the sessions will be held online (via Discord/Zoom/Microsoft Teams).

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Learn with the best, most experienced, and certified Cambridge tutor. I am a qualified and certified physical and online tutor located in Lusaka, Zambia.
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Tuitions for all subjects from grade 1-10th CBSE,SSC,ICSE, IGCSE CURRICULUM
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