Data Analytics Tutorials -- Join the Data Dive: Your Guide to Excel, SQL, Power BI and Python

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Module 1: SQL Overview Outlining SQL as the cornerstone of database activity Applying the ANSI/ISO standards Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys Module 2: Building the Database Schema - Creating tables and columns Building tables with CREATE TABLE Modifying table structure with ALTER TABLE Adding columns to an existing table Removing tables with DROP TABLE - Protecting data integrity with constraints Guaranteeing uniqueness with primary key constraints Enforcing integrity with foreign key constraints Imposing business rules with check constraints - Improving performance with indexes Expediting data retrieval with indexes Recommending guidelines for index creation Module 3: Manipulating Data - Modifying table contents Adding table rows with INSERT Changing row content with UPDATE Removing rows with DELETE - Applying transactions Controlling transactions with COMMIT and ROLLBACK Deploying BEGIN TRANSACTION in SQL Server Module 4: Working with the SELECT Statement - Writing Single Table queries Retrieving data with SELECT Specifying column expressions Sorting the result with ORDER BY Handling NULL values in expressions - Restricting rows with the WHERE filter Testing for equality or inequality Applying wildcard characters Avoiding NULL value pitfalls Module 5: Querying Multiple Tables - Applying the ANSI/ISO standard join syntax Matching related rows with INNER JOIN Including nonmatched rows with OUTER JOIN Creating a Cartesian product with CROSS JOIN - Combining results with set operators Stacking results with UNION Identifying matching rows with INTERSECT Utilizing EXCEPT to find nonmatching rows Module 6: Employing Functions in Data Retrieval - Processing data with row functions Conditional formatting with the CASE expression Utilizing the CASE expression to simulate IF tests Dealing with NULL values - Performing analysis with aggregate functions Summarizing data using SUM, AVG and COUNT Finding the highest/lowest values with MAX and MIN Defining the summary level with GROUP BY Applying filter conditions with HAVING Module 7: Constructing Nested Queries - Applying subqueries in filter conditions Creating correlated vs. noncorrelated subqueries Testing the existence of rows - Including subqueries in expressions Placing subqueries in the column list Creating complex expressions containing subqueries Handling subqueries that return no rows Module 8: Developing In-Line and Stored Views - Breaking down complex problems Selecting data from a query result set Using subqueries in the FROM clause - Creating views in a database Building reusable code Creating updateable vs. non-updateable views

Microsoft Excel is very powerful data analysis software. It is a practical solution in the short to medium and long term to automate your calculations, to have a global and detailed overview on your activities, and to analyze your data. As an accountant, marketer, commercial agent, secretary, merchant, salesperson or company manager, a good mastery of this software will improve your efficiency, your competitiveness, and will save you a lot of time and money. Whatever your field of activity, this software is designed to help you. During this training you will learn: - best practices, functionalities and tools; - functions and their use; - handling of Dynamic Cross Tables, dynamic graphics, - the design of dashboards, - and you will acquire reflexes that will be useful for your entire career. Duration of training: 1 month Number of hours: 24 hours I am expecting many of you because we have a lot to share.

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning. The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

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The purpose of this session is to allow the learner to understand the usefulness of Excel, to understand its principle and how it can be used at the school and professional level. It is also about Excel formulas, application exercise. contact me

I would guide you step by step to get familiarised with the tools of Microsoft Office programmes (Word, Excel, and PowerPoint) that you believe you might need to meet your purposes. Your level of experience will determine where we start and how we proceed through the course. Contact me

Start your journey into the world of Python programming with this hands-on, beginner-friendly course and also for expert level. Whether you're completely new to coding or looking to expand your skills, this course will guide you through the core concepts of Python — from variables and data types to control structures, functions, and lists. As you build a strong foundation in programming, you'll also dive into the powerful data analysis capabilities of Python using popular libraries like Pandas and NumPy . Learn how to clean, process, and analyze real-world data sets to extract meaningful insights. Next, bring your data to life with stunning visualizations using Matplotlib and Seaborn , two of the most widely used data visualization libraries in Python. Finally, take your skills to the next level by building your own web applications using either Flask or Django — two of Python’s most popular web frameworks. By the end of this course, you’ll have a well-rounded understanding of Python programming, data manipulation, visualization, and web development — empowering you to create real-world projects and pursue further specializations.

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