Mastering Data Analytics:

Overview: This course focuses on foundational data analysis skills, covering advanced Excel, SQL, statistics for data science, and Python programming. Learners will gain proficiency in data manipulation, reporting, and statistical inference for business insights.

Modules:

1. Advanced Excel

• HLOOKUP, VLOOKUP, XLOOKUP for advanced data lookups.
• Pivot tables for dynamic data summaries.
• VBA (Visual Basic for Applications) and Macros for automating tasks.
• Power Query for data extraction, transformation, and loading (ETL).

2. SQL

• Query and manage databases using SQL.
• SQL Windows Functions for advanced analysis (running totals, ranks, etc.).
• Joins, aggregations, and subqueries

3. Statistics for Data Science

• Descriptive Statistics: Mean, median, mode, standard deviation.
• Probability: Concepts such as permutation, combination, conditional probability and Bayes’ theorem.
• Probability Distributions: Normal, binomial, Poisson.
• Inferential Statistics: Hypothesis testing, confidence intervals.

4. Fundamentals of Python

• Basic Python programming. Data types, loops, functions
• Data handling with NumPy and Pandas.
• Data visualization with Matplotlib, Seaborn

Tools:

• Excel (VBA, Power Query, Macros): Advanced data manipulation.
• SQL: Database management and querying.
• Python (NumPy, Pandas): Data manipulation and analysis

What You’ll Learn:

• Excel Mastery: Advanced formulas like HLOOKUP, VLOOKUP, XLOOKUP, VBA, Macros, and Power Query for automation and data handling.
• SQL Skills: Query databases, perform joins, and use SQL Windows Functions for in-depth analysis.
• Statistics Basics: Descriptive stats, probability, hypothesis testing, and more.
• Python Basics: Get started with Python, NumPy, and Pandas for data manipulation and analysis.

Best For: Those new to data analysis or looking to strengthen their foundational skills.

Job Prospects:

• Data Analyst: Analyze data, create reports, and provide actionable insights.
• Business Intelligence Analyst: Develop dashboards and visualizations for business decision-making.
• Reporting Analyst: Generate and maintain detailed reports for organizational use.

Mastering Business Intelligence:

Overview: This advanced course covers essential business analytics skills with a deeper focus on financial modeling, market research, advanced Excel, and Python. It’s tailored to individuals looking to sharpen their business decision-making skills with data-driven insights.

Modules:

1. Advanced Excel

• Master HLOOKUP, VLOOKUP, XLOOKUP, and INDEX-MATCH functions.
• VBA for automating processes.
• Power Query for ETL and data transformation.
• Advanced Pivot Tables and Macros for in-depth analysis.
• Conditional Formatting for dynamic data reporting.

2. SQL

• Query and manage databases using SQL.
• Joins, aggregations, and subqueries
• SQL Windows Functions for advanced analysis (running totals, ranks, etc.).

3. Fundamentals of Python for Business Analysts

• Basic Python programming. Data types, loops, functions
• NumPy and Pandas for data manipulation and analysis.
• Basic data visualization with Matplotlib and Seaborn.

4. Market Research and Analytics

• Population Clustering Methods (demographic, geographic, psychographic).
• Advanced survey data analysis.
• Predictive Analytics for business forecasting.

5. Financial Analysis and Modeling

• Advanced financial ratios, cash flow projections, and scenario analysis.
• Build detailed financial models for decision-making in Excel.

Tools:

• Excel (VBA, Power Query, Pivot Tables, Macros) for advanced reporting.
• SQL: Database management and querying.
• Python (NumPy, Pandas, Matplotlib, Seaborn) for data analysis

What You’ll Learn:

• Excel Power: Advanced techniques, including financial modeling and complex pivot tables.
• Python for Business: Use NumPy, Pandas, and visualization libraries like Matplotlib and Seaborn.
• Market Research: Advanced methods for clustering, survey analysis, and predictive analytics.
• Financial Modeling: Build cash flow projections, ROI analysis, and detailed financial models.
• Power BI: Create interactive dashboards and reports.

Best For: Business analysts who want to enhance their skills with advanced techniques and tools.

Job Prospects:

• Business Analyst: Improve business processes and strategies using data-driven insights.
• Financial Analyst: Conduct in-depth financial analysis and modeling.
• Market Research Analyst: Analyze market trends and consumer behavior for strategic planning.