Data Analyst Career Path

Level: Beginner

Duration: 56 Hrs 45 Min

Total Videos: 358 On-demand Videos

Original price was: $199.00.Current price is: $39.00.

This beginner-friendly course is a comprehensive introduction to data analysis, providing practical skills in SQL, Excel 2019, and Microsoft Power BI, ideal for those new to data or transitioning into a more analytical role. By the end of the course, you'll be equipped to make data-driven decisions, create impactful visualizations, and contribute effectively to any data-centric team or project.

Courses Included In This Training

When taking this Career Quest Path, you'll gain knowledge from each of the strategically currated courses designed to level up your skills and master your craft.

SQL Data Analysis With Microsoft SQL Server

Master data analysis skills with SQL Server 2019 to advance your career as a data analyst, BI developer, or IT professional through practical, hands-on training.

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Querying SQL Server With T-SQL - Master The SQL Syntax

Master SQL Server querying skills to enhance data analysis, database management, and development careers through efficient T-SQL techniques and real-world applications

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Introduction to Microsoft Power BI

Master data visualization and analytics skills with this introductory Power BI course, designed for professionals seeking to transform data into actionable business insights.

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Microsoft Excel 2019 Training

Master Microsoft Excel 2019 to enhance data analysis, reporting, and automation skills, empowering professionals to make data-driven decisions and boost productivity.

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Introduction to SQL Big Data & Analytics

Master SQL big data analytics and enhance your data engineering or data science career by managing large datasets, deploying scalable solutions, and building predictive models.

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SSAS : Microsoft SQL Server Analysis Services

Learn how to design reliable analytical models, build cubes and tabular solutions, and use MDX and DAX to support business intelligence careers in Microsoft SSAS.

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Learning Objectives

01

Master SQL for Data Analysis: Learn how to write, structure, and optimize queries using SQL and T-SQL to extract, filter, and manipulate data from relational databases.

02

Analyze Data Using Microsoft SQL Server: Gain hands-on experience working with real-world datasets in Microsoft SQL Server to perform sorting, grouping, joining, and aggregating operations.

03

Create Data Models with SSAS: Understand how to use SQL Server Analysis Services (SSAS) to build multidimensional data models and support complex analytical queries.

04

Develop Interactive Dashboards with Power BI: Learn to design and share interactive reports and dashboards that reveal insights through clear data visualization.

05

Perform Advanced Analysis in Microsoft Excel: Use functions, pivot tables, and charts in Excel 2019 to analyze data trends and support business decision-making.

06

Understand Big Data Concepts and Tools: Explore foundational concepts in big data and how large-scale datasets are managed, queried, and visualized in modern data environments.

07

Transform Raw Data into Business Insights: Learn how to turn raw, unstructured data into clear, actionable information for stakeholders and decision-makers.

08

Prepare for a Career in Data Analysis: Build job-ready skills across multiple tools and platforms to qualify for roles such as Data Analyst, Business Intelligence Analyst, or Reporting Specialist.

Series Description

This Data Analyst Career Path is for data enthusiasts, analysts, and professionals looking to level up into data-driven decision making. By completing this pathway, you’ll gain practical, job-ready skills that translate to real-world roles in data analysis, reporting, and business intelligence.

If you’re new to data or seeking a smarter transition into an analytical role, this beginner-friendly training series provides a solid foundation in the essential tools and techniques used by professional data analysts. You’ll build confidence with core skills in SQL and T-SQL, learn to write queries, and start turning structured data from Microsoft SQL Server into actionable insights. From there, you’ll expand your toolkit with Excel 2019, then bring your findings to life through compelling dashboards and reports using Power BI. You’ll also explore big data analytics concepts and gain hands-on experience with SSAS to work with multidimensional data models and robust data visualizations.

What you’ll gain goes beyond theory: you’ll develop the ability to analyze data, craft clear dashboards, and support data-driven decisions that move teams and projects forward. This path emphasizes practical, job-ready competencies that align with real roles across industries, helping you translate data into meaningful business outcomes.

Key topics and skills covered include writing efficient SQL queries, working with Structured Query Language in Microsoft SQL Server, building interactive dashboards with Power BI, designing effective data models, and delivering insightful metrics and KPIs through dashboards and reports. You’ll also gain familiarity with multidimensional data, SSAS, and data analytics best practices that support clear storytelling with data.

Proficiency in SQL and T-SQL to extract and analyze data from Microsoft SQL Server
Ability to create and interpret Excel 2019 dashboards and data summaries
Experience building compelling Power BI dashboards and reports for stakeholders
Understanding of data modeling concepts and multidimensional data via SSAS
Capability to translate data into actionable recommendations and metrics

Ready to advance your career with a structured, practical path that mirrors the needs of modern data teams? Enroll now to start turning raw data into strategic insights and elevate your trajectory in the data analytics field.