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Economic Analyst Course

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Business and Economics

Economics

Economic Analyst Course

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Economic Analyst Course

Name: Economic Analyst Course
Price: 264 CAD

Master the analytical frameworks, quantitative methods, and strategic communication skills that professional economic analysts use every day. This course takes you from core microeconomic principles to advanced econometrics, macroeconomic forecasting, and evidence-based policy evaluation. Whether you're targeting a role in government, finance, or consulting, you'll graduate ready to deliver credible, high-impact economic analysis.

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What you will learn:

You will build a complete economic analyst toolkit, starting with supply-and-demand fundamentals and market structure theory before advancing to regression analysis, econometric identification strategies, and time-series modeling. You will learn how to source, clean, and manage large economic datasets and how to design reproducible analytical workflows. The course covers macroeconomic forecasting, industry analysis, and policy evaluation using experimental and quasi-experimental methods. You will also develop professional skills in data visualization, advisory report writing, and stakeholder presentation. By the end, you will be equipped to produce investment-grade economic assessments and strategic recommendations for real clients and institutions.

How you study in practice Economic Analyst Course

How you practise Economic Analyst Course

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Course Content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Economic Analysis

Lesson 1 • Core Microeconomic Principles
Covers scarcity, opportunity cost, and rational choice theory as analytical anchors. Establishes the microeconomic lens used throughout the course.
Lesson 2 • Introduction to Macroeconomic Aggregates
Introduces GDP, inflation, unemployment, and the business cycle as macro-level indicators. Links micro behavior to economy-wide outcomes.
Lesson 3 • Supply, Demand, and Market Equilibrium
Analyzes how prices and quantities are determined in competitive markets. Provides the baseline model for all subsequent market analysis.
Lesson 4 • Market Structures and Competition
Distinguishes perfect competition, monopoly, oligopoly, and monopolistic competition. Prepares analysts to assess competitive dynamics in any industry.
Lesson 5 • Elasticity and Market Sensitivity
Quantifies how responsive buyers and sellers are to price and income changes. Connects elasticity concepts to pricing strategy and revenue forecasting.

Chapter 2See details

Quantitative Methods for Economists

Lesson 1 • Regression Analysis Fundamentals
Teaches ordinary least squares estimation and interpretation of regression output. Forms the core empirical method used in economic research and forecasting.
Lesson 2 • Probability and Statistical Foundations
Covers probability distributions, expected value, and hypothesis testing for economic data. Supports rigorous inference in later empirical chapters.
Lesson 3 • Index Numbers and Economic Indicators
Explains construction and use of price, quantity, and composite indices. Connects statistical measures to standard economic reporting practice.
Lesson 4 • Essential Mathematics for Economics
Reviews algebra, calculus, and optimization techniques applied to economic functions. Ensures all students share a common mathematical foundation.
Lesson 5 • Multiple Regression and Model Building
Extends regression to multiple predictors and addresses common specification issues. Equips analysts to build and validate multi-variable economic models.

Chapter 3See details

Data Collection and Management

Lesson 1 • Reproducible Data Workflows
Establishes version control, scripting, and documentation standards for analytical projects. Ensures transparency and replicability of economic analysis.
Lesson 2 • Database Management for Analysts
Introduces relational database concepts and query writing for economic data retrieval. Enables efficient management of large structured datasets.
Lesson 3 • Data Cleaning and Validation
Addresses missing values, outliers, duplicates, and inconsistencies in raw datasets. Produces reliable inputs for quantitative economic models.
Lesson 4 • Survey Design and Sampling Methods
Covers questionnaire design, sampling strategies, and bias mitigation for economic surveys. Ensures collected data supports valid statistical inference.
Lesson 5 • Economic Data Sources and Types
Surveys primary, secondary, cross-sectional, time-series, and panel data sources. Establishes criteria for evaluating data quality and relevance.

Chapter 4See details

Econometric Modeling and Inference

Lesson 1 • Regression Discontinuity Design
Exploits threshold-based assignment rules to estimate local causal effects. Provides a credible quasi-experimental method for policy analysis.
Lesson 2 • Causality and Identification Strategies
Distinguishes correlation from causation and introduces identification frameworks. Anchors all subsequent causal inference methods in a unified logic.
Lesson 3 • Time-Series Econometrics
Covers stationarity, cointegration, and ARIMA modeling for temporal economic data. Prepares analysts for forecasting and dynamic relationship estimation.
Lesson 4 • Instrumental Variables and Two-Stage Estimation
Teaches IV estimation to address endogeneity using valid instruments. Connects to policy evaluation where randomization is infeasible.
Lesson 5 • Difference-in-Differences and Panel Methods
Uses panel data and natural experiments to estimate treatment effects over time. Widely applied in policy impact and program evaluation contexts.

Chapter 5See details

Macroeconomic Analysis and Forecasting

Lesson 1 • Fiscal Policy and Government Budgets
Analyzes government spending, taxation, and deficit dynamics and their macro effects. Connects fiscal stance to growth, debt sustainability, and crowding out.
Lesson 2 • Scenario Analysis and Stress Testing
Constructs baseline, upside, and downside macro scenarios for decision support. Translates uncertainty into structured risk narratives for stakeholders.
Lesson 3 • Economic Forecasting Methods
Applies leading indicators, structural models, and machine learning to macro forecasting. Produces and evaluates short- and medium-term economic projections.
Lesson 4 • National Accounts and Flow of Funds
Deconstructs GDP components, sectoral balances, and flow-of-funds accounts. Provides the accounting framework for macro-level economic assessment.
Lesson 5 • Monetary Policy and Financial Conditions
Examines central bank tools, transmission mechanisms, and financial condition indices. Links monetary policy decisions to real economic outcomes.

Chapter 6See details

Industry and Market Analysis

Lesson 1 • Demand Forecasting for Industries
Estimates industry-level demand using econometric and trend-based methods. Supports capacity planning, investment appraisal, and market sizing.
Lesson 2 • Cost Structure and Profitability Analysis
Breaks down fixed, variable, and sunk costs to assess industry profitability drivers. Connects cost economics to pricing power and competitive advantage.
Lesson 3 • Industry Classification and Structure
Uses standard classification systems and concentration metrics to map industry boundaries. Establishes a consistent framework for cross-industry comparison.
Lesson 4 • Competitive Dynamics and Strategic Forces
Applies structural frameworks to assess competitive intensity and profit potential. Links industry structure to firm-level pricing and investment decisions.
Lesson 5 • Regulatory and Policy Environment Assessment
Evaluates how regulatory frameworks, trade policy, and government intervention shape markets. Integrates policy risk into industry outlooks.

Chapter 7See details

Economic Policy Evaluation

Lesson 1 • Communicating Evaluation Findings
Translates complex evaluation results into clear policy briefs and presentations. Builds skills for influencing decisions through evidence-based communication.
Lesson 2 • Cost-Benefit and Cost-Effectiveness Analysis
Monetizes policy outcomes and compares them to program costs using CBA and CEA. Provides decision-makers with a standardized value-for-money metric.
Lesson 3 • Policy Evaluation Frameworks
Introduces logic models, theory of change, and evaluation typologies for policy analysis. Aligns evaluation design with policy objectives and stakeholder needs.
Lesson 4 • Experimental and Quasi-Experimental Designs
Covers randomized controlled trials and quasi-experimental alternatives for causal evaluation. Selects the most credible design given real-world constraints.
Lesson 5 • Distributional and Equity Analysis
Assesses how policy impacts are distributed across income groups and demographics. Ensures evaluations capture equity dimensions alongside efficiency.

Chapter 8See details

Strategic Economic Advisory Practice

Lesson 1 • Professional Ethics and Analytical Integrity
Addresses conflicts of interest, data integrity, and transparency standards in economic work. Establishes the ethical foundation for credible professional practice.
Lesson 2 • Risk Assessment and Uncertainty Quantification
Applies Monte Carlo simulation, fan charts, and risk matrices to economic projections. Communicates probabilistic outcomes to non-technical decision-makers.
Lesson 3 • Building Integrated Economic Models
Combines macro, industry, and firm-level data into coherent quantitative models. Produces integrated outputs that support strategic and investment decisions.
Lesson 4 • Structuring Complex Economic Problems
Applies issue trees, hypothesis-driven thinking, and scoping to define analytical problems. Converts ambiguous briefs into structured, answerable research questions.
Lesson 5 • Delivering High-Impact Advisory Reports
Structures, writes, and presents professional economic reports for senior audiences. Applies pyramid principle and visual storytelling to maximize analytical impact.

Certification

Your valid completion certificate

This course is for you:

Economics graduate: seeking to bridge theory and applied professional practice.
Policy researcher: wanting rigorous quantitative tools to strengthen evidence-based work.
Finance professional: looking to add macroeconomic depth to investment analysis skills.
Career changer: moving from a non-economics field into analytical advisory roles.
Public sector analyst: aiming to formalize skills in program and policy evaluation.
Business consultant: needing structured economic frameworks to sharpen client recommendations.

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