Google Cloud Platform (GCP) Specialisation Career Path

New to Cloud? Learn cloud computing from scratch and become a certified GCP 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 GCP skills You Will Learn
  1. Understand GCP Cloud Computing principles, services, and architecture to build robust and scalable cloud solutions.
  2. Gain hands-on experience with essential GCP services such as Compute Engine, Cloud Storage, and Cloud SQL, and learn to set up and manage GCP accounts securely.
  3. Learn to design and implement scalable, resilient cloud infrastructure and networking solutions using Virtual Private Clouds (VPCs), subnets, and load balancers.
  4. Master GCP's storage and database services like Cloud Storage, Cloud Spanner, and Bigtable to efficiently manage and store data in the cloud.
  5. Deploy and scale applications using GCP's compute services and develop event-driven, serverless applications with Cloud Functions.
  6. Implement robust security measures, ensure regulatory compliance, and optimize performance and costs through proactive monitoring and resource management.
Essential tools and platforms:
  1. Google Kubernetes Engine (GKE): Managed Kubernetes service for deploying, managing, and scaling containerized applications using Kubernetes.
  2. BigQuery: Fully managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure..
  3. Cloud Pub/Sub: Messaging service that allows you to send and receive messages between independent applications, providing real-time event data ingestion and delivery.
  4. Cloud Functions: Serverless compute service that allows you to run code in response to events without managing any server infrastructure.
  5. TensorFlow on GCP: Comprehensive tools and managed services to build, train, and deploy machine learning models at scale using TensorFlow on GCP. This includes AI Platform, which provides tools to take ML projects from ideation to production.
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. Cross-Functional Collaboration: Work effectively with IT, security, and business teams to integrate cloud solutions seamlessly into the company's operations and infrastructure.
Problem Solving and Design Thinking Skills You Will Learn
  1. Create resilient and secure cloud solutions using integrated GCP services.
  2. Develop strategies for auto-scaling, load balancing, and disaster recovery.
  3. Configure virtual networks and VPCs for optimal traffic flow and enhanced security.
  4. Select and implement appropriate GCP storage and database solutions for specific data needs.
  5. Analyze and manage resource usage to forecast costs and identify savings.
  6. Enforce access controls, encryption, and data protection measures.
  7. Streamline development and deployment with CI/CD pipelines and Infrastructure as Code.
  8. Utilize AI/ML, IoT, and edge computing to drive innovation.
Curriculum Designed For Career Success
Module 1: Introduction to GCP Cloud Computing
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.Gain a foundational understanding of GCP Cloud Computing and its applications across various industries. Explore how businesses like Spotify and Snapchat leverage GCP for scalable, reliable, and innovative cloud solutions.

  • 1. 1 Overview of GCP services and architecture:
    • Understand the comprehensive suite of GCP services and their integration for building robust cloud architectures. For instance, a media streaming platform can leverage GCP services like Compute Engine for hosting, BigQuery for analytics, and Cloud Storage for storing media files.
  • 1.2 Understanding the cloud computing paradigm:
    • Learn about cloud computing principles such as elasticity, on-demand resource allocation, and pay-as-you-go pricing. A startup can rapidly scale its infrastructure on GCP to accommodate sudden spikes in user traffic without upfront investment in hardware.
  • 1.3 Benefits and use cases of GCP in various industries:
    • Explore how GCP is utilized across different sectors such as healthcare, finance, and gaming. An e-commerce retailer can use GCP's AI/ML capabilities to analyze customer behavior and provide personalized recommendations.
Module 2: GCP Fundamentals and Core Services
3 Lectures

Learn the core GCP services essential for setting up a basic cloud environment. Understand how businesses use services like Compute Engine for virtual machines, Cloud Storage for object storage, and Cloud SQL for managed databases to support their operations.

  • 1.1 Introduction to core GCP services (Compute Engine, Cloud Storage, Cloud SQL, etc.):
    • Get familiar with essential GCP services and their functionalities. A software development team can use Compute Engine instances to run its web applications, Cloud Storage for storing product images, and Cloud SQL for managing customer data.
  • 1.2 Setting up GCP accounts and managing security:
    • Learn to create GCP accounts and implement security best practices using Identity and Access Management (IAM). An enterprise can use IAM roles and permissions to enforce data access restrictions and comply with data sovereignty regulations.
  • 1.3 Hands-on experience with basic GCP functionalities:
    • Gain practical skills in provisioning GCP resources and configuring services through guided exercises and labs. An online marketplace can use GCP's intuitive console and command-line interface to deploy and manage their applications on the cloud.
Module 3: Cloud Infrastructure and Networking
3 Lectures

Design scalable and resilient cloud infrastructure on GCP to support modern applications and workloads. Learn about networking concepts such as Virtual Private Clouds (VPCs), subnets, and load balancing to ensure secure and efficient communication between services.

  • 1.1 Designing and implementing cloud infrastructure:
    • Plan and deploy cloud environments on GCP using best practices for scalability and reliability. A global e-commerce platform can use GCP's global load balancers and multi-region deployments to deliver low-latency shopping experiences to customers worldwide.
  • 1.2 Networking concepts in GCP (VPC, Subnets, Load Balancers):
    • Understand how networking works in GCP and configure virtual networks to isolate workloads and control traffic flow. A financial services company can use VPC peering to securely connect on-premises data centers with GCP resources for hybrid cloud deployments.
  • 1.3 Optimizing network performance and security:
    • Implement network security policies and monitoring solutions to protect against cyber threats and ensure compliance with industry regulations. An SaaS provider can use GCP's firewall rules and network monitoring tools to detect and mitigate DDoS attacks targeting their cloud infrastructure
Module 4: Storage and Database Services
3 Lectures

Efficiently manage and store data in the cloud with GCP's storage and database solutions. Learn how to leverage Cloud Storage for object storage, Cloud Spanner for globally distributed databases, and Bigtable for real-time analytics at scale.

  • 1.1 Understanding GCP storage options (Cloud Storage, Cloud Spanner, Bigtable, etc.):
    • Explore GCP's storage offerings and choose the right solution for your data storage and processing needs. A gaming company can use Cloud Spanner to build a globally consistent leaderboard system that scales seamlessly as the player base grows.
  • 1.2 Introduction to GCP database services (Cloud SQL, Firestore, BigQuery):
    • Learn about GCP's managed database services and their use cases for transactional, document-oriented, and analytical workloads. A media streaming platform can use BigQuery for analyzing viewer engagement metrics and optimizing content recommendations in real time.
  • 1.3 Best practices for data storage and management in GCP
    • Implement data lifecycle management policies and backup strategies to ensure data availability and durability. An e-commerce retailer can use Cloud Storage's object versioning and lifecycle policies to store and manage product images, videos, and user-generated content with high availability and reliability.
Module 5: Compute Services and Serverless Computing
3 Lectures

Deploy and scale applications on GCP without managing underlying infrastructure. Learn about GCP's compute services such as Compute Engine for virtual machines, App Engine for platform as a service (PaaS), and Cloud Functions for serverless computing.

  • 1.1 Exploring GCP compute services (Compute Engine, App Engine, Cloud Functions):
    • Understand GCP's compute offerings and choose the right compute option based on your application requirements. A software development team can use App Engine's managed environment to deploy and scale applications without worrying about infrastructure management.
  • 1.2 Serverless computing with GCP Cloud Functions:
    • Develop event-driven, serverless applications that automatically scale with demand and only incur costs when executed. For example, a fintech startup can use Cloud Functions to process financial transactions in real time, ensuring high availability and low latency for their users.
  • 1.3 Building and deploying serverless applications:
    • Learn best practices for designing, developing, and deploying serverless applications on GCP. An IoT company can use Cloud Functions to process sensor data from connected devices, triggering alerts and notifications based on predefined business rules.
Module 6: Scalability and High Availability
3 Lectures

Ensure applications can scale and remain available under heavy load or in the event of failures. Learn about GCP's auto-scaling and load balancing capabilities to dynamically adjust resources based on traffic patterns and distribute workloads across multiple instances.

  • 1.1 Scaling applications on GCP using auto-scaling and load balancing:
    • Configure auto-scaling policies and load balancers to handle traffic spikes and distribute requests evenly across backend instances. For instance, a ride-sharing platform can use auto-scaling to provision additional compute resources during peak hours and load balancers to distribute ride requests to nearby drivers efficiently.
  • 1.2 Achieving high availability with GCP services (Cloud Load Balancing, Cloud CDN):
    • Design fault-tolerant architectures that minimize downtime and ensure seamless user experiences. A healthcare provider can use Cloud Load Balancing to distribute incoming patient inquiries to redundant backend servers, ensuring continuous availability of their online appointment scheduling system.
  • 1.3 Disaster recovery and backup strategies in GCP
    • Implement data replication and backup solutions to protect against data loss and minimize recovery times in the event of disasters. A financial institution can use GCP's cross-region replication and automated backups to maintain data integrity and compliance with regulatory requirements.
Module 7: Security and Compliance
3 Lectures

Implement robust security measures to protect sensitive data and ensure compliance with regulatory standards. Learn about GCP's identity and access management (IAM) policies, encryption mechanisms, and auditing tools to maintain a secure cloud environment.

  • 1.1 Securing GCP resources with IAM, Security Groups, and VPC Service Controls:
    • Define granular access controls and network policies to restrict resource access and prevent unauthorized actions. A government agency can use IAM roles and permissions to enforce data access restrictions and comply with data sovereignty regulations.
  • 1.2 Compliance and governance in GCP:
    • Implement security and compliance controls to meet industry-specific requirements and regulatory standards. A financial services firm can use GCP's compliance certifications and audit logs to demonstrate adherence to industry regulations such as PCI DSS and GDPR.
  • 1.3 Implementing encryption and data protection measures:
    • Encrypt data at rest and in transit to protect against unauthorized access and data breaches. An e-commerce retailer can use GCP's encryption features to safeguard customer payment information and ensure PCI compliance during online transactions.
Module 8: Monitoring and Optimization
3 Lectures

Maintain performance and optimize costs through proactive monitoring and resource management. Learn about GCP's monitoring tools, performance optimization techniques, and cost management strategies to maximize the efficiency of cloud deployments.

  • 1.1 Monitoring GCP resources with Stackdriver Monitoring and Logging:
    • Monitor application performance and track resource usage metrics in real time to identify performance bottlenecks and troubleshoot issues proactively. An online marketplace can use Stackdriver Monitoring to monitor website latency and user traffic patterns, ensuring optimal user experiences during peak shopping seasons.
  • 1.2 Performance optimization techniques:
    • Optimize application performance by fine-tuning resource configurations, optimizing code efficiency, and implementing caching strategies. A content delivery network (CDN) provider can use caching mechanisms and edge caching with Cloud CDN to reduce latency and improve content delivery speeds for end users.
  • 1.3 Cost management and billing in GCP:
    • Analyze resource usage patterns, forecast future costs, and implement cost-saving measures to optimize cloud spending. A software development team can use GCP's cost management tools to identify idle resources, right-size instances, and leverage sustained use discounts to reduce overall infrastructure costs
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
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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
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Accountability through assignments and grading
Full-time commitment - not made for working professionals
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3-4 weeks course
No learner support
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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 GCP Specialization Bootcamp?
You’ll get hands-on experience with essential Google Cloud Platform (GCP) services, including Compute Engine for cloud computing, App Engine for application deployment, Cloud Storage for data management, and BigQuery for data analysis. These services form the core of cloud-based solutions.
Do I need prior experience to join the GCP Specialization Bootcamp?
No, this bootcamp is designed for beginners. You don’t need any prior cloud computing experience, as the course starts from the basics and gradually progresses to more advanced topics, making it accessible to everyone.
How long is the bootcamp, and can I learn at my own pace?
The bootcamp spans 4 months, with flexible learning options. You can learn at your own pace through self-paced modules or attend live classes with industry experts. The course requires about 15–20 hours per week, making it suitable for working professionals.
What will I learn during the bootcamp?
You’ll learn how to design, deploy, and manage cloud solutions using GCP. Key topics include cloud infrastructure, networking, storage, compute services, security, and scalability. By the end of the bootcamp, you’ll be prepared to take GCP certification exams and apply your skills to real-world cloud projects.
Will I have access to the course materials after completing the bootcamp?
Yes, you’ll have lifetime access to all course materials, including video tutorials, recorded live sessions, and project files. This ensures you can revisit and practise the content anytime you need, even after the course ends.
What kind of career support will I get during and after the bootcamp
You’ll receive personalised career support, including 1:1 mentorship, mock interviews with cloud computing professionals, and resume-building workshops. We’ll also connect you with our network of partner companies, helping you find job opportunities in the cloud computing field.
What makes this GCP bootcamp unique?
This bootcamp offers a combination of real-world projects, industry-tested problem-solving frameworks, and personalised 1:1 mentorship. You’ll also benefit from flexible learning options, live expert support, and a 7-day money-back guarantee, giving you the confidence to explore the program risk-free.
What is the cost of the bootcamp, and are there payment options?
The bootcamp costs ₹75,000, and we offer easy EMI payment options to make it more accessible. Plus, with our 7-day no-questions-asked money-back guarantee, you can try the course without any risk.
What types of projects will I work on?
You’ll work on practical, real-world projects such as setting up cloud infrastructure, managing cloud resources, and optimising performance. These projects will help you build a strong portfolio and apply your knowledge in actual business scenarios.
How will this bootcamp help me start a career in cloud computing?
By the end of the bootcamp, you’ll have a strong portfolio showcasing your GCP skills and hands-on experience. With our career support, including resume-building, mock interviews, and access to job opportunities, you’ll be well-prepared to launch a successful career in cloud computing.
I don’t have a tech background; can I still take this course?
Yes! We start with the basics of GCP, making it accessible to learners without prior cloud or tech experience.
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.