Easy Learning with Mastering Data Magic : Power BI + Tableau  + SQL , Analytics
IT & Software > Other IT & Software
24h 13m
£17.99 Free for 0 days
4.3

Enroll Now

Language: English

Sale Ends: 02 Apr

Data Analytics Mastery: Power BI, Tableau, & SQL Skills

What you will learn:

  • Power BI Introduction
  • Power BI Installation and Setup
  • Power BI Data Connection and Import
  • Power BI Data Visualization Techniques
  • Power BI Interactive Report Creation
  • Tableau Introduction and Setup
  • Tableau Data Analysis and Visualization
  • Tableau Dashboard and Story Creation
  • SQL Database Management
  • SQL Querying and Data Manipulation

Description

  1. Unlocking Data's Potential: This course empowers you to transform raw data into actionable insights. Learn to cleanse, structure, and analyze information to drive better business outcomes.

  2. Why Data Matters: In today's data-rich world, analytical skills are essential. Gain a competitive edge by mastering the ability to identify trends, optimize processes, enhance customer experiences, and predict future scenarios.

  3. Exploring Analytical Approaches: Delve into the four core types of data analytics: descriptive (summarizing past data), diagnostic (pinpointing causes), predictive (forecasting future events), and prescriptive (recommending actions).

  4. The Data Analytics Journey: Understand the complete lifecycle—from data collection and preparation to modeling, visualization, and insightful interpretation.

  5. Mastering Key Tools: This course provides hands-on training in Power BI, Tableau, and SQL—three industry-leading tools for data manipulation and analysis.

  6. Essential Skill Set: Develop crucial skills in data manipulation, statistical analysis, data visualization, and problem-solving. Refine your communication and collaboration skills for effective data-driven decision making within a team.

  7. Power BI Deep Dive: Learn to download, install, and navigate the Power BI Desktop interface. Master data connection, data type understanding, and the creation of compelling visualizations like charts and maps. Explore advanced features such as data modeling, web scraping, and interactive report design.

  8. Tableau Expertise: From initial setup to advanced visualizations, learn to leverage Tableau's intuitive interface to create interactive dashboards. Develop skills in data blending, calculated fields, geographical mapping, and the creation of insightful storytelling narratives.

  9. SQL Foundations: This comprehensive section teaches you SQL commands, data manipulation techniques, and database design principles. Learn how to query databases, manage transactions, and optimize performance. Master different join types and build effective database structures.

By the end of this course, you'll be equipped to tackle real-world data challenges and translate findings into strategic recommendations.

Curriculum

What Data Analytics Is

This introductory section lays the foundation for understanding data analytics, defining its core concepts and significance in modern business.

Power BI Fundamentals

This section covers the installation, interface, and basic functionalities of Power BI Desktop. You'll learn how to connect to data sources, understand data types, build various charts, manage visual interactions, and format reports for optimal clarity and appeal. Web scraping techniques are also introduced.

Advanced Power BI Techniques

This module delves into advanced Power BI features, including data modeling, map visualizations, scatter plots, conditional formatting, and techniques for managing report views (like hiding tables). You'll also learn to use grouping features, create different chart types (bar, column, ribbon, small multiples), and leverage Power BI's extensive features for in-depth analysis.

Power BI Data Transformation and Modeling

This section focuses on powerful data transformation techniques using Power Query, including data cleaning, splitting columns, handling delimiters, and creating bridge tables. It also covers merging and appending queries, connecting to RDBMS systems, and loading data from diverse sources, such as multiple Excel files and folders.

Mastering DAX in Power BI

This section is dedicated to learning Data Analysis Expressions (DAX) in Power BI. You'll learn how to create calculated columns and measures, utilize functions and operators, work with variables and calculated tables, manage filters effectively, and utilize table functions for advanced data manipulation.

Power BI Reporting and Deployment

This section covers creating calendars, implementing time intelligence, using quick measures, effectively formatting visuals, managing page navigation, publishing reports to the Power BI service, and scheduling report refreshes. Topics also include setting up gateways, managing row-level security (RLS), utilizing custom visuals, and connecting to SQL databases to utilize datasets from the Power BI service.

Tableau Introduction and Fundamentals

This section introduces Tableau, covering installation, data types, data sources, distinguishing dimensions and measures, and understanding discrete and continuous data. You'll learn to create basic visualizations and format your work.

Advanced Tableau Techniques

This section focuses on advanced Tableau features such as creating various chart types (donut charts, trend charts), using calculated fields and filters, and leveraging geographic mapping and web URL actions for dynamic reports. It also covers creating dashboards and navigating within them using actions.

Tableau Advanced Visualizations and Analysis

This section goes deeper into advanced visualizations, incorporating features like folders, hierarchies, scatter plots, word clouds, groups, sets, forecasting, and detailed formatting options. You'll also learn techniques like adding filters, parameters, reference lines, and Level of Detail (LOD) calculations. It includes charts like funnel charts, thermometer charts, and histograms.

SQL Fundamentals and Database Management

This section provides a comprehensive introduction to SQL, covering databases, commands, data types, and using workbench. You’ll master DDL and DML commands, understand data query language (DQL), operators, wildcards, joins, constraints, and database objects like views and sequences. Advanced topics such as transactions, indexing, stored procedures, loops, and cursors are also covered.

Deal Source: real.discount