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Cloud Analytics

  • 24/7 Support
  • 3 Months
  • 120 Sessions

Course Description

The Cloud Analytics Course with SQL, Excel, Power BI, and Python integration offers a comprehensive approach to leveraging cloud computing for advanced data analytics. This course combines the power of traditional SQL databases with the flexibility of cloud platforms, enabling participants to store, manage, and analyze large datasets efficiently.

Through hands-on training, students will learn how to utilize SQL for data querying, manipulation, and management within cloud-based environments. They will also master Excel's analytical capabilities, harnessing its tools for data visualization, reporting, and analysis.

 

One to One personalized training Schedule for Cloud Analytics

EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.

14-06-2024 Friday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
16-06-2024 Sunday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
18-06-2024 Tuesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
19-06-2024 Wednesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

The Cloud Analytics Course with SQL, Excel, Power BI, and Python integration offers a comprehensive approach to leveraging cloud computing for advanced data analytics. This course combines the power of traditional SQL databases with the flexibility of cloud platforms, enabling participants to store, manage, and analyze large datasets efficiently.

Through hands-on training, students will learn how to utilize SQL for data querying, manipulation, and management within cloud-based environments. They will also master Excel's analytical capabilities, harnessing its tools for data visualization, reporting, and analysis.

 

Learning the Cloud Analytics Course with SQL, Excel, Power BI, and Python integration offers a strategic advantage in today's data-driven landscape. Here's why:

Comprehensive Skill Set: By mastering SQL, Excel, Power BI, and Python within a cloud analytics context, you gain a comprehensive skill set covering data querying, manipulation, visualization, and advanced analytics. This versatility allows you to handle diverse data tasks efficiently and effectively.

 

Cloud Computing Proficiency: With cloud computing becoming increasingly prevalent, learning how to perform analytics in cloud environments is essential. This course equips you with the knowledge and skills to leverage cloud platforms for data storage, processing, and analysis, enabling scalability, flexibility, and cost-effectiveness.

  1. Data-driven Decision Making: In today's competitive landscape, data-driven decision-making is paramount. By understanding SQL, Excel, Power BI, and Python, you can extract meaningful insights from data and translate them into actionable strategies, empowering organizations to make informed decisions and gain a competitive edge.

  2. Career Advancement: Proficiency in SQL, Excel, Power BI, and Python is highly sought after in the job market. By mastering these tools within a cloud analytics context, you enhance your employability and open doors to a wide range of career opportunities in data analytics, business intelligence, and data science roles.

  3. Future-proof Skills: As technology evolves, so do data analytics tools and methodologies. By staying abreast of the latest advancements and mastering versatile tools like SQL, Excel, Power BI, and Python within cloud analytics frameworks, you future-proof your skills and remain relevant in a rapidly changing industry landscape.

 We check your knowledge before we start the session.

 We build foundational topics first and core topics next.

 Theory classes with a real-time case study.

 Demo on every topic.

 You will learn how to design architecture diagrams for each service.

 Mock exam on every topic you understand.

 Exam Preparation

 Interview Preparation

Cloud Analytics Syllabus


3 Months Course 50% Theory 50% Lab Daily Homework Real time Projects

Topics Covered

  • Cloud Services for Data Analytics
  • Introduction to Cloud Computing
  • Introduction to Data AnalyticsIntroduction to Python for Data Analysis
  • Data Manipulation and Visualization with Python
  • Advanced Python for Data Analytics
  • Advanced Data Manipulation with Pandas
  • Statistical Analysis with Python
  • Introduction to Machine Learning with Python
  • Data Management with MySQL
  • Introduction to Relational Databases
  • Advanced SQL and Database Management
  • Data Visualization and Reporting with PowerBI
  • Introduction to PowerBI
  • Cloud Services for Data Analytics
  • Introduction to Cloud Computing
  • Capstone Project and Review
  • Capstone Project
  • dataa nalytics, providing insights into job roles, industry trends, and further
  • learning opportunities for aspiring data analysts

 

 

Instructor

Vijilin Jerrish

jerrish has a Bachelors degree in Computer Science, He is based out of India and had trained more than 8000 students in last 9years on Networking, Linux, Automation and Cloud Technologies.

Jerrish is RHCSA, Ansible, AWS Solutions Architect Pro, Terraform and Kubernetes Certified

Frequently asked question

Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.

Q: What if I am not an Engineer/Programmer? Can I still do the Cloud Analytics course?
A: Cloud Analytics is not a separate domain but a tool/technology which can be used in any field. Our course is designed to address the needs of non-programmers and candidates who have no IT knowledge. Anyone who has an interest in Cloud Analytics can take up this course.

Q: Will I get placement assistance?
A: Yes. You will get it once you finish the course.

Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.

Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.

Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.

Q: What is the average salary of a Cloud Analytics professional?
A: $229,868


Cloud Analytics Fees