Data Analyst Course

Course Overview

Kickstart your career in data analytics with our Data Analyst Bootcamp, delivered by Simplilearn in collaboration with Microsoft. This comprehensive bootcamp equips you with essential data interpretation, visualisation, and analytics skills. You’ll gain hands-on experience with industry-leading tools like SQL, R, and Python, and master techniques such as descriptive and inferential statistics, hypothesis testing, and predictive analytics. With expert-led training and practical applications using tools like Power BI, Tableau, and Microsoft Azure, you'll be prepared to excel in the dynamic field of data analytics. Delivered by Simplilearn, this program will give you the skills and knowledge to gain a competitive edge and thrive in your data-driven career. 

What you will learn

• Analyse business data in Excel using functions, pivot tables and dashboards.
• Write SQL queries to manage, retrieve and optimise data from relational databases.
• Develop practical Python skills for analytics and build a foundation for AI/ML applications.
• Use R for data manipulation, visualisation, statistical analysis and basic machine learning.
• Build professional Power BI reports and dashboards, applying DAX and performance optimisation.
• Create interactive dashboards and visual stories with Tableau to support decision-making.
• Design large-scale and real-time analytics solutions with Microsoft Azure, Microsoft Fabric and Apache Spark.
• Model data effectively in Power BI: configure relationships and hierarchies, write DAX, and optimise semantic models.
• Apply core statistical techniques (e.g., hypothesis testing, regression, classification and clustering) to real datasets.
• Gain hands-on, industry-relevant experience through applied projects and a capstone.

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Tools covered

• Microsoft Excel
• Power BI
• Python
• R
• Tableau
• MySQL
• Jupyter
• Visual Studio Code (VS Code)
• ChatGPT

Interpersonal skills you will learn along the way:

• Analytical thinking
• Communication skills
• Data-driven decision making
• Critical thinking skills

Course projects

This Data Analyst Bootcamp training includes industry-relevant projects from various industries to help you master the concepts of data analysis. Below are the details on the projects you will be working on:

Employee Performance Mapping
Utilise an SQL database to map employee performance and construct appraisal reports.

Air Cargo Analysis
Leverage SQL to generate reports using historical airline data, aiming to enhance services and improve customer experience.

Analysing Customer Orders Using Python
Analyse customer orders using Python data structures to classify products, identify purchasing patterns, and generate business insights.

Building a Python Adventure Game with GitHub Copilot
Build a text-based adventure game using Python and GitHub Copilot. The game allows users to explore different locations, make choices, and complete a simple quest, focusing on variables, lists, loops, conditionals, and functions.

Data Manipulation and Reporting with Power BI
Create an interactive Power BI report for Zomato to analyse restaurant data globally, with drill-downs by location, service, rating, cost, and cuisines.

Data Visualisation and Reporting with Power BI
Create an interactive Power BI dashboard to evaluate agent performance metrics for a regional insurance group consisting of ten companies.

Crime Analysis with Tableau Dashboard
Prepare a dashboard to keep the police department and the city updated on crime statistics. Create a dashboard and a visual story using Tableau.

Regional Sales Analysis
Use Tableau to create a dashboard that visualises the sales performance of two selected regions.

Designing a Sales Dashboard in Excel
Analyse an e-commerce store’s performance using Excel. Build interactive dashboards to prepare, visualise, and assess sales trends across different product categories.

Predicting Restaurant Tips
Clean and analyse restaurant tip data to build a predictive model. Use regression and encoded variables to estimate tip amounts, providing insights to enhance service quality.

Anomaly Detection in Credit Card Transactions
Design a fraud-detection system to identify fraudulent credit-card transactions in real time.

Patient Readmission Prediction
Analyse the likelihood of a patient being readmitted to a healthcare facility within 30 days after discharge.

Predicting Customer Purchase Behaviour
Develop a comprehensive understanding of customer behaviour and preferences based on retail transaction data.

ChatGPT-Based Storytelling
Design an interactive storytelling adventure using ChatGPT to collaboratively create unique and engaging narratives without coding.

Show off your achievements

Earn your Data Analyst Certification

Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set. You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and expertise as a data analyst professional.

Differentiate Yourself

Set yourself apart from the competition with the Data Analyst online course certificate. This is your ticket to getting your foot through the door and proof that you have applied data analytics knowledge and skills to real-world projects, simulations, and case studies, making you job-ready.

Share your achievement

You worked for it; you earned it! Share your achievement loud and proud! Talk about your Data Analyst Bootcamp certification on LinkedIn, Twitter, and Facebook. Add it to your CV to stand out and showcase it to your employers.

How can I assess my readiness for a Data Analyst course?

Start by evaluating your comfort level with basic statistics, Microsoft Excel, and data visualisation tools like Tableau or Power BI. If you have a keen interest in data-driven decision-making and are comfortable working with numbers, you're likely ready to enrol. Familiarity with basic data concepts, such as data types and databases, can also boost your readiness.

How does a Data Analyst course compare to a traditional degree in data analytics?

A Data Analyst course is typically shorter, focusing on practical skills like data cleaning, analysis, and visualisation, with hands-on training to make you job-ready quickly. In contrast, a traditional degree offers broader theoretical knowledge, covering advanced topics like statistical modelling, machine learning, and research methods, making it ideal for deeper academic exploration or advanced analytical roles.

How can this course help me advance my current career?

The course equips you with essential skills like data interpretation, pattern recognition, and informed decision-making, which are valuable across roles. By applying these skills to improve processes, enhance reporting, and drive strategic decisions, you can position yourself for promotions or transition into more data-centric roles within your current organisation.

What industries typically hire Data Analysts?

Data Analysts are in demand across a wide range of industries, including finance, healthcare, marketing, e-commerce, government, and tech. The versatility of data analysis skills allows you to work in various sectors, helping organisations make data-driven decisions, identify trends, and improve efficiency.

Will I have the same instructor throughout the course?

Yes, most data analyst courses ensure continuity by assigning the same instructor for the entire duration. This consistency allows for a better learning experience, as the instructor becomes familiar with your progress, provides tailored feedback, and offers ongoing support.

How often do classes meet, and what is the duration of each class?

Class schedules vary based on the course structure, but most courses offer regular sessions, either weekly or bi-weekly, ranging from 1-2 hours each. You can often choose between part-time or full-time options, depending on your availability, making it easier to balance the course with work or personal commitments.

Are there breaks or time off during the course?

Yes, many courses provide breaks between modules to allow time for review, assignment completion, or personal commitments. These breaks help prevent burnout and give you the opportunity to consolidate your learning before progressing to more advanced topics.