After completing Data Analytics I and II, you will be prepared to use databases, SQL, Python, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

This module is designed to empower users with comprehensive skills in analysing data within a single table using SQL queries. By delving into various SQL querying techniques, students will gain proficiency in efficiently retrieving, manipulating, and aggregating data.

Feb 23, 2024 · Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance.

• Learn the basic SQL syntax that will help you access a whole new world of data. • Focus on the read-only functionality that matters for a data analyst, and get to insights quickly.

Use SQL commands to filter, sort, and summarize data. Create an analysis table from multiple queries using the UNION operator. Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.

Mar 4, 2025 · Overview of SQL: Knowledge of databases, SQL procedures, and query creation. Data manipulation: Using commands like SELECT, INSERT, UPDATE, and DELETE. Joins and Subqueries: Creating intricate queries and interacting with several tables. Normalization of databases: Effective methods for storing and retrieving data.

Master the fundamentals of SQL for data-driven decision-making with the SQL for Data Analysis course. Learn to write queries, manipulate databases, and extract insights from complex datasets. Perfect for beginners and professionals aiming to enhance their data analysis skills for roles in business intelligence, data science, or analytics.

In this course, you will develop a fundamental understanding of structured query language (SQL), a key language for data manipulation. You will use PostgreSQL to extract, join, aggregate, …

For each topic, it lists key skills and modules to study such as measures of central tendency in statistics, pivot tables and charts in Excel, ETL processes in data warehousing, SQL commands and query writing, and creating basic visualizations in Tableau. It provides online resources and study links for each topic. DATA TUTORIALS - h ps://youtube.

Apr 1, 2025 · We’ve collated a detailed data analysis course outline to help you understand each aspect of the right data analyst syllabus. 1. Business Analytics Using Excel. To begin with, excel is a fundamental tool for data analysis, and mastering its functionalities is essential for any data analyst. Such a course should cover the following key areas: 1.