Full Stack Azure Cloud Computing Career Path

New to Cloud? Learn cloud computing from scratch and become a certified Azure specialist in just 4 months with our intensive bootcamp for beginners.
20 Videos
No Coding Experience Required
45 Assignments
Self Paced

About This Course

Dive into the powerful world of data manipulation with Python libraries for data science like NumPy and Pandas. Explore how to efficiently work with multidimensional arrays, perform data wrangling operations, and analyze large datasets. These skills are crucial for anyone aspiring to become a data scientist, data analyst, or machine learning engineer.
What You'll Learn
Core Skills You Will Learn
  1. Gain foundational knowledge of Azure Cloud Computing, including its architecture and core services like Virtual Machines, Blob Storage, and SQL Database.
  2. Learn to design and implement robust and scalable cloud infrastructure using Azure Resource Manager, Virtual Networks, Subnets, and Network Security Groups.
  3. Efficiently manage and store data using Azure storage solutions such as Blob Storage, File Storage, and Disk Storage, along with Azure database services like SQL Database and Cosmos DB.
  4. Deploy and scale applications using Azure compute services like Virtual Machines and Azure App Service, and build serverless applications with Azure Functions.
  5. Implement robust security measures and ensure compliance with regulations using Azure Active Directory, Role-Based Access Control (RBAC), and Azure Policy.
  6. Improve development efficiency and operational reliability by implementing CI/CD pipelines with Azure DevOps, managing infrastructure as code with Azure Resource Manager templates, and automating tasks with Azure Automation.
Tools and Technologies
  1. Azure Virtual Machines: Virtual servers for running applications.
  2. Azure Blob Storage: Scalable storage for unstructured data.
  3. Azure SQL Database: Managed relational database service.
  4. Azure Functions: Serverless computing for event-driven applications.
  5. Azure App Service: Platform for building and hosting web applications.
  6. Azure Active Directory (AD): Identity and access management service.
  7. Azure Resource Manager (ARM): Infrastructure as code service for deploying and managing resources.
  8. Azure Cost Management: Tools for monitoring and optimizing Azure spending.
  9. Azure Monitor: Service for monitoring the performance and health of applications and resources.
  10. Azure DevOps: Tools for CI/CD pipelines and DevOps practices.
  11. Azure Automation: Service for automating routine tasks and orchestrating workflows.
Essential communication and business skills relevant to the cloud computing domain:
  1. Stakeholder Communication: Clearly explain cloud computing solutions, benefits, and potential challenges to stakeholders, ensuring alignment with business goals and IT strategies.
  2. Technical Documentation: Create comprehensive and accessible documentation for cloud architectures, services, and implementation processes to facilitate understanding and collaboration among team members.
  3. Project Management: Plan, coordinate, and oversee cloud computing projects efficiently, ensuring timely delivery, budget adherence, and alignment with organizational objectives.
  4. Cost-Benefit Analysis: Present detailed analyses of cloud service costs and benefits to non-technical stakeholders, aiding in informed decision-making and budget planning.
  5. Cost-Benefit Analysis: Present detailed analyses of cloud service costs and benefits to non-technical stakeholders, aiding in informed decision-making and budget planning.
Business Problem Solving and Design Thinking
  1. Align Azure solutions with organizational goals.
  2. Design scalable cloud architectures using Azure services.
  3. Implement cost-efficiency strategies with Azure Cost Management.
  4. Develop secure and compliant solutions with Azure IAM and Security Groups.
  5. Apply design thinking for user-centric Azure solutions.
  6. Use Azure Site Recovery and Traffic Manager for business continuity.
Curriculum Designed For Career Success
Introduction to Azure Cloud Computing
3 Lectures

Gain foundational knowledge of Azure Cloud Computing and its real-world applications. Understand how businesses leverage Azure for scalable, cost-effective, and high-performing infrastructure.

  • 1.1 Overview of Azure services and architecture:
    • Understanding the various Azure services and how they fit into the overall architecture is crucial for designing robust cloud solutions. For example, knowing when to use Azure App Service for web applications versus Azure Virtual Machines for more control over the underlying infrastructure can significantly impact application performance and cost-effectiveness.
  • 1.2 Cloud computing paradigm and benefits:
    • Learning about the cloud computing paradigm and its benefits helps businesses make informed decisions about migrating to the cloud. For instance, understanding concepts like elasticity and pay-as-you-go pricing can help organizations scale their infrastructure according to demand and optimize costs.
  • 1.3 Use cases of Azure in various industries:
    • Exploring real-world use cases of Azure across different industries provides insights into how businesses leverage Azure for specific needs. For example, a healthcare organization can use Azure for storing and analyzing large volumes of patient data securely, enabling faster diagnosis and treatment decisions.
Module 2: Azure Fundamentals and Core Services
3 Lectures

Learn essential Azure services like Virtual Machines, Blob Storage, and SQL Database. Understand how businesses utilize these services for everyday operations.

  • 1.1 Introduction to core Azure services:
    • Understanding core Azure services like Virtual Machines, Blob Storage, and Azure SQL Database is essential for building cloud-based solutions. For instance, knowing when to use Azure Blob Storage for storing unstructured data like images and videos versus Azure SQL Database for structured data storage can optimize data management workflows.
  • 1.2 Setting up Azure accounts and managing security:
    • Learning how to set up Azure accounts and implement security measures ensures the confidentiality, integrity, and availability of data. For example, configuring Azure Active Directory for identity and access management helps prevent unauthorized access to sensitive resources.
  • 1.3 Hands-on experience with basic Azure functionalities:
    • Gaining hands-on experience with basic Azure functionalities through practical exercises helps reinforce learning and build confidence in using Azure services. For instance, creating a virtual machine in Azure and deploying a web application teaches essential skills for managing infrastructure and applications in the cloud.
Module 3: Cloud Infrastructure and Networking
3 Lectures

Design and implement robust cloud infrastructure for high availability and security. Learn networking concepts in Azure and optimize network performance and security.

  • 1.1 Designing cloud infrastructure with Azure Resource Manager:
    • Designing cloud infrastructure with Azure Resource Manager involves creating resource groups, defining resource dependencies, and deploying resources as a group. For example, creating an Azure Resource Manager template for an e-commerce application streamlines the deployment process and ensures consistency across environments.
  • 1.2 Networking concepts in Azure:
    • Understanding networking concepts in Azure, such as Virtual Networks, Subnets, and Network Security Groups, is crucial for building secure and scalable cloud environments. For example, configuring network security groups to control inbound and outbound traffic helps protect virtual machines from unauthorized access.
  • 1.3 Optimizing network performance and security in Azure:
    • Optimizing network performance and security in Azure involves implementing best practices for network design, monitoring, and troubleshooting. For example, using Azure ExpressRoute for private connectivity to Azure services can improve network performance and reduce latency for critical workloads.
Module 4: Storage and Database Services
3 Lectures

Discover the power of Python for analyzing data and SQL for managing databases. Get ready to start your own data analysis journey with Python's versatile tools and SQL's database querying capabilities.

  • 1.1 Understanding Azure storage options:
    • Understanding Azure storage options like Blob Storage, File Storage, and Disk Storage helps businesses choose the right storage solution for their data storage and retrieval needs. For example, using Azure Blob Storage for storing backups and archival data provides cost-effective long-term storage with high availability and durability.
  • 1.2 Introduction to Azure database services:
    • Introduction to Azure database services like Azure SQL Database, Cosmos DB, and Azure Database for MySQL helps businesses build scalable and reliable database solutions. For example, using Azure SQL Database for a line-of-business application provides built-in high availability, automatic backups, and advanced security features.
  • 1.3 Best practices for data storage and management in Azure:
    • Implementing best practices for data storage and management in Azure ensures data integrity, availability, and security. For example, using Azure Blob Storage Lifecycle Management to automatically tier data to cooler storage tiers based on access patterns reduces storage costs while ensuring data accessibility.

Module 5: Compute Services and Serverless Computing
3 Lectures

Deploy and scale applications efficiently with Azure compute services. Understand serverless computing with Azure Functions and build serverless applications.

  • 1.1 Exploring Azure compute services:
    • Exploring Azure compute services like Virtual Machines, Azure App Service, and Azure Functions helps businesses choose the right compute solution for their workload requirements. For example, using Azure Functions for event-driven applications reduces infrastructure management overhead and scales automatically based on demand.
  • 1.2 Serverless computing with Azure Functions:
    • Building serverless applications with Azure Functions involves writing code to respond to events without managing servers. For example, using Azure Functions to process messages from an Azure Queue Storage automatically scales to handle varying message loads without provisioning or managing infrastructure.
  • 1.3 Building and deploying serverless applications in Azure:
    • Building and deploying serverless applications in Azure involves designing event-driven architectures, writing serverless functions, and deploying applications to Azure. For example, building a serverless web application with Azure Functions and Azure Cosmos DB provides a scalable and cost-effective solution for handling web traffic and data storage.
Module 6: Scalability and High Availability
3 Lectures

Ensure applications can scale and remain available during peak times. Explore techniques for achieving high availability with Azure services.

  • 1.1 Scaling applications on Azure using auto-scaling and load balancing:
    • Scaling applications on Azure using auto-scaling and load balancing helps businesses handle varying workload demands efficiently. For example, configuring Azure Auto Scaling to scale virtual machine instances based on CPU utilization ensures optimal performance during peak traffic periods.
  • 1.2 Achieving high availability with Azure services:
    • Achieving high availability with Azure services like Azure Load Balancer, Azure Traffic Manager, and Azure Application Gateway ensures continuous service availability and reliability. For example, using Azure Traffic Manager to distribute incoming traffic across multiple Azure regions improves application availability and fault tolerance.
  • 1.3 Disaster recovery and backup strategies in Azure:
    • Implementing disaster recovery and backup strategies in Azure involves creating backup copies of critical data and applications to ensure business continuity in the event of a disaster. For example, using Azure Site Recovery to replicate virtual machines to a secondary Azure region provides a cost-effective and automated solution for disaster recovery.
Module 7: Security and Compliance
3 Lectures

Implement robust security measures to protect sensitive data and ensure compliance with regulations. Learn encryption and data protection measures in Azure

  • 1.1 Securing Azure resources with Azure Active Directory, Role-Based Access Control (RBAC):
    • Securing Azure resources with Azure Active Directory and Role-Based Access Control helps prevent unauthorized access and protect sensitive data. For example, implementing multi-factor authentication for Azure AD users adds an extra layer of security to Azure resources.
  • 1.2 Compliance and governance in Azure:
    • Ensuring compliance and governance in Azure involves implementing policies, procedures, and controls to meet regulatory requirements. For example, using Azure Policy to enforce resource tagging standards ensures consistent resource management and cost allocation across Azure subscriptions.
  • 1.3 Implementing encryption and data protection measures in Azure:
    • Implementing encryption and data protection measures in Azure helps protect data at rest and in transit from unauthorized access. For example, using Azure Key Vault to manage encryption keys and secrets ensures secure storage and management of sensitive information.
Module 8: Monitoring and Optimization
3 Lectures

Maintain performance and optimize costs through monitoring and optimization techniques. Learn to manage and optimize spending in Azure environments

  • 1.1 Monitoring Azure resources with Azure Monitor and Log Analytics:
    • Monitoring Azure resources with Azure Monitor and Log Analytics helps businesses gain insights into resource usage, performance, and availability. For example, using Azure Monitor to set up alerts based on predefined thresholds ensures proactive monitoring and timely response to critical issues.
  • 1.2 Performance optimization techniques in Azure:
    • Performance optimization techniques in Azure involve optimizing resource utilization, reducing latency, and improving application responsiveness. For example, using Azure Cache for Redis to cache frequently accessed data reduces database load and improves application performance.
  • 1.3 Cost management and billing in Azure:
    • Managing costs and optimizing spending in Azure involves tracking resource usage, analyzing cost trends, and implementing cost-saving measures. For example, using Azure Cost Management + Billing to monitor and control Azure spending helps businesses stay within budget and avoid unexpected expenses.
Case Studies

Industry Case Studies You Will Work On

Advanced Fraud Detection Techniques in Banking
Learn the skills and knowledge to detect fraudulent activities in credit card transactions, ensuring financial security for banking institutions and customers.
Skills learned:
Data Preprocessing
Feature Engineering
Model Evaluation
Anomaly Detection Techniques
Operational Efficiency Optimization in Banking
Develop the tools and techniques to forecast call volumes in banking call centers, improving resource allocation and enhancing customer service efficiency.
Skills learned:
Time Series Forecasting
Model Evaluation
Operational Optimization Techniques
Customer Segmentation Strategies for Banking Marketing
Learn how to segment bank customers based on their behavior and demographics to optimize marketing campaigns for targeted customer engagement and retention.
Skills learned:
Data Visualization
Clustering Algorithms
Customer Profiling techniques
Sales Prediction and Optimization in Banking
Learn how to predict sales performance and optimize sales strategies for banking products and services that drive revenue growth and customer acquisition.
Skills learned:
Predictive Modeling
Sales forecasting
Model Interpretation Techniques
Real-time ATM Fraud Detection in Banking
Equip yourself with the skills to detect fraudulent activities in ATM transactions, safeguarding banking institutions and customers from financial losses.
Skills learned:
Data Preprocessing
Model Evaluation
Anomaly Detection Techniques
Predictive Modeling for Loan Default Prediction in Banking
Predict loan default probabilities that enable banks to assess credit risk and make informed lending decisions.
Skills learned:
Feature engineering
Risk Assessment
Model Evaluation Techniques
Predictive Analytics for Customer Lifetime Value Estimation
Learn how to estimate the lifetime value of bank customers, facilitating targeted marketing strategies and personalized customer experiences.
Skills learned:
Customer Segmentation
Predictive modeling
Model Evaluation
Personalized Cross-Selling Recommendations in Banking
Gain the skills to build recommendation systems for cross-selling banking products and services based on customer behavior and preferences.
Skills learned:
Collaborative Filtering
Recommendation Algorithms
Customer Profiling Techniques
Machine Learning for Mortgage Risk Assessment in Banking
Learn the tools to assess mortgage loan risks, enabling banks to make informed lending decisions and manage credit risk effectively.
Skills learned:
Feature Selection
Risk Modeling
Credit Scoring Techniques
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Make A Life-Changing Career Choice

IN-DEMAND CAREER
45%
Growth in demand for Data Analysts in the next 5 years
MASSIVE JOB OPENINGS
1M +
Job openings and counting for Data Analysts worldwide.
BIGGEST GROWING INDUSTRY
$349.6 Billion
Amount industry is set to grow by 2030
HIGH ENTRY- LEVEL SALARY
₹8-14 LPA+
Current average CTC for entry-level Data Analysts in India.
Don't Just Learn. Specialize.
India's only course with industry specialization in the domain of your choice.
50+
Industry case studies
10+
Problem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Learning
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies

Land Your Dream Job With
Full Placement Support

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Craft a Winning Resume

Get expert help building a resume that showcases your data skills.
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Nail Your Interview

Practise mock interviews with our experienced mentors to ace the recruitment process. 
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Company Screening & Selection

Benefit from our extensive industry network and connections to unlock exciting career opportunities.
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The team was thrilled with the quality of instruction provided. We have requests from teams from other departments to undertake the training as well. 
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Avinash Purohit
DGM, Canara Bank
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Is This Bootcamp Right For You?
Are you looking for a career change?
Do you want to switch from your current job to a more lucrative career as a data analyst in finance ?
Do you want a promotion?
Are you a banking or finance professional looking to upgrade your career with the most sought after skill in today’s market - data analytics ?
Are you a beginner to data analytics?
Are you a recent graduate looking for a comprehensive program to teach you everything you need to know to launch your career as a data analyst in the financial sector ?
If you answered "Yes" to any of these questions, SkillCamper's Data Analyst Bootcamp is the perfect fit for you!

What makes us different

Youtube Tutorials& Courses
Live classes
No learner support
No access to any mentor
No live classes
No accountability
No time commitment
SkillCamper
16 weeks course
1:1 Mentorship
Access to industry experts
Live classes with experts
Dedicated academic counselors to ensure you complete course requirements
15-20 hours of time commitment per week - designed for working professionals
Other Bootcamps &Degree Programs
20-60 weeks course
1:1 support may or may not be available
Access to industry may or may not be available
Live classes only
Accountability through assignments and grading
Full-time commitment - not made for working professionals
Online CertificationProgram
3-4 weeks course
No learner support
No access to industry experts
No live classes
Limited accountability
8-10 hours per week of time commitment- suited to working professionals

“The mentors at SkillCamper teach very well, making all the concepts easy to understand. ”

Their teaching style is clear and effective, and I am grateful for their guidance. I hope they continue this excellent approach in the future.
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Ravi Prakash
Automation Test Analyst

“SkillCamper's Data Analytics Bootcamp is fantastic. ”

I had tried learning some data analytics tools through free platforms, but it wasn't enough to get a good opportunity. SkillCamper goes beyond just teaching tools; they focus on domain expertise, which is essential today. The course material is very practical, and I feel like I'm gaining valuable skills. Highly recommended!
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Sanjay Shah
Graduate in BSC-IT

“I'm doing the Data Analytics Bootcamp at SkillCamper, and it's great. ”

Even though I don't have a tech background, the mentors explain things in a simple way that I can understand. The projects and the friendly community make learning fun and helpful. I highly recommend SkillCamper for anyone new to data analytics!
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Ashish Lodhe
Graduate in BSC-IT

“The course is going well and the mentors are very supportive. ”

As a student from a non-tech background, I find their teaching style easy to follow. They explain everything in simple terms and help with any questions. I highly recommend SkillCamper for anyone starting from scratch! 
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Suman M-
Graduate in BSC-IT
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Testimonials

Alumni Success Stories

From career switchers to college grads, we have helped a diverse range of learners kickstart & progress rapidly in their data science careers. 
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Live Interaction

Self paced

Fee Structure

₹ 75,000

₹ 50,000

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Live Interaction

Self paced

Fee Structure

$599

$299

Curriculum & Course Materials

Live coding environment

AI-based learning platform

100+ hours of instruction

20+ assignments

10+ banking & finance case studies

Banking & finance domain focused curriculum

Capstone projects

Live Classes

Flexible study options

Cancel anytime in first 7 days, full refund

Mentors

15+ hours of sessions with industry veterans & experts

Personalized mentorship by course instructors

Unlimited 1:1 doubt solving sessions

Career Support

Personalized placement assistance

1:1 mock interviews with industry experts

Soft-skills training module

Essential digital tools for digital workplace module

Interview preparation module

Masterclass on resume building & LinkedIn

Access to curated companies & jobs

Frequently Asked Questions

What technologies will I learn in the Azure Cloud Computing Bootcamp?
You’ll learn to use key Microsoft Azure services such as Azure Virtual Machines for cloud computing, Azure Storage for data management, Azure Networking for connectivity, and Azure Security tools for safeguarding applications. These technologies are essential for anyone looking to build, manage, or optimise cloud infrastructure.
Do I need any prior experience to join the Azure Cloud Computing Bootcamp?
No prior experience is required. This bootcamp is designed specifically for beginners. We start from the very basics of cloud computing and Azure, ensuring that even those new to technology can keep up and progress to advanced topics with confidence.
How long is the bootcamp, and can I learn at my own pace?
The bootcamp runs for 4 months, and you have the flexibility to learn at your own pace. You can follow pre-recorded lessons or attend live sessions with industry experts. The program is designed to fit into a busy schedule, requiring around 15–20 hours per week, making it ideal for working professionals.
What will I learn during the Azure Cloud Computing Bootcamp?
You’ll cover all the essential components of Microsoft Azure, including cloud infrastructure, storage and databases, compute services, serverless architecture, and scalability. By the end of the course, you’ll know how to design and deploy Azure cloud solutions and be prepared for Azure certification exams.
Will I have access to the course materials after completing the bootcamp?
Yes, you’ll have lifetime access to all course content, including video tutorials, live session recordings, and project files. This means you can continue learning and revisiting key topics even after completing the bootcamp.
What kind of career support will I receive during and after the bootcamp?
You’ll receive comprehensive career support, including 1:1 mentorship, resume-building workshops, and mock interviews with cloud professionals. We also connect you with our network of partner companies, helping you access job opportunities in cloud computing.
What makes this Azure Cloud Computing Bootcamp unique?
This bootcamp stands out by offering real-world projects, personalized mentorship, and flexible learning options. It’s designed to give you practical, hands-on experience with Azure. Plus, we offer a 7-day money-back guarantee to ensure the program fits your learning style.
What is the cost of the bootcamp, and are there flexible payment options?
The bootcamp costs ₹75,000, and we offer easy EMI payment options to make it more accessible. You can try the course risk-free with our 7-day no-questions-asked money-back guarantee, ensuring you can explore the program without commitment.
What types of projects will I work on during the bootcamp?
You’ll work on hands-on projects such as setting up Azure cloud environments, deploying applications on Azure Virtual Machines, and implementing cloud security protocols. These projects are designed to provide you with real-world skills and help you build a strong portfolio to showcase your abilities.
How will this bootcamp help me start a career in cloud computing?
By the end of the bootcamp, you’ll have built a portfolio of Azure-based projects and gained the skills to pursue Azure certifications. Our career support services, including mock interviews and job placement assistance, will help you confidently enter the cloud computing industry and land your first role.
I don’t have a tech background; can I still take this course?
Absolutely. This bootcamp is designed for beginners, introducing key Azure concepts step-by-step.
What type of job support do you provide after completing the course?
We offer comprehensive placement assistance, including resume building, mock interviews, and leveraging our network of industry partners.
How do you prepare students for the job market?
We equip students with industry-relevant skills, help craft winning resumes, and provide mock interview practice with experienced mentors.
Do you guarantee a job after completing the course?
While we do not guarantee a job, we provide extensive support to help you become highly competitive in the job market.
Can you help me find a job in any specific industry?
Our job assistance is generalized; we prepare you for a variety of roles in the data science field rather than focusing on specific industries.
What is the cost of the Data Science bootcamp?
The cost varies depending on the program. Our full bootcamp is priced between ₹50,000 and ₹75,000, depending on whether you choose self-paced or live instruction.
 Are scholarships available for the courses?
Yes, we offer scholarships that can cover up to 70% of the tuition fees, making our courses more accessible to a wider range of students.
What is included in the course fee?
The fee includes access to all course materials, live coding sessions, AI-based learning platform, case studies, capstone projects, and mentorship from industry experts.
What payment options are available for the course fees?
We offer flexible payment options, including easy EMIs, and you can cancel anytime in the first 7 days for a full refund.
Is financial aid or other support available aside from scholarships?
While our primary financial support is through scholarships, our enrollment advisors can also assist you with payment plans and financing options to help manage the cost of your education.

Ready to become a Data Scientist that industry loves to hire? Apply Now. 

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What technologies will I learn in the Data Science bootcamps?
You will learn Python, R, SQL, Power BI, Tableau, Excel, Pandas, Numpy, Matplotlib, Seaborn, and PySpark.