Become 100% job ready with our Cloud Data Scientist course!!

4 Months Duration
Practical training
Major Projects!

Let us guide you!

    Cloud Data Scientist Curriculum

    Learn the complete ecosystem ... how everything is stitched together!

    4 Months

    Practical training

    Major Projects!

    Spark
    • Traditional Architecture vs Modern Architecture for Data Processing
    • What is Hadoop? Why did it not last long…
    • Hadoop vs Spark
    • Traditional Architecture vs Modern Architecture for Data Processing
    • Programming in Spark for various use-cases
    • Architecture of Spark
    • Actions and Transformation
    • Broadcast and Accumulators
    Spark Optimizations Techniques:
    • Cache vs Persist
    • Garbage Collection
    • Types of joins
    • File Formats (Parquet, Avro, ORC)
    • Resource Allocation and Utilization
    • Deployment modes
    • Different ways of programming in Spark
    • Hands-on Spark!
    Cloud
    • What is Cloud and why the need
    • AWS vs Azure vs GCP
    • Understanding of industry-wide used cloud services
    • Various services provided on Cloud
    • Programming for Cloud
    • Deployment on Cloud
    • DevOps / DevSecOps on Cloud
    • Hands-on Cloud!
    ML and AI
    • The buzz about ML and AI
    • Phases in ML and AI
    • Data Imputation, Data Exploration, Data Standardization
    • Algorithms for Analytics
    • Analysis using Matplotlib
    • Cross-Validation
    • Grid Search and Hyperparameter Tuning
    • Confusion Matrix for model performance metrics
    • Scikit Learn, Tensor Flow, etc.
    • Neural Network, Image Processing, and NLP
    • Hands-on ML and AI!
    SQL and NoSQL
    • Overview of databases
    • Challenges in relational databases
    • Introduction to NoSQL database
    • The architecture of NoSQL databases
    • SQL in NoSQL
    • Optimizations in NoSQL
    •  Hands-on NoSQL!
    Business Analytics
    • What is Business Analytics and the need for it
    • Use-cases for Business Analytics
    • Industry-wide business analytics tools
    • Hands-on Business Analytics!
    •  
    Kafka
    • Traditional techniques for message transfer
    • RabbitMQ vs Kafka
    • The architecture of Kafka (Producer and Consumer)
    • Partitioning
    • Data replication
    • Log Compaction and Offset retention
    • Unbalanced Kafka Cluster
    • Hands-on
    •  

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      Akshaya Mulay

      Accenture

      Got to know about mikado from a friend and it was one of the best decisions i ever made during the starting phase of my career.

      Sanjay sir’s way of teaching is just top notch and also he has a very interactive way of teaching which results into detailed learning.

      Superb learing experience and great atmosphere ! 🙂

      Mikado Solutions Alumni Bharat Patel

      Bharat Patel

      Bank of America

      It is around a year since I have started my journey of learning Core Java, Advance, Hibernate and Spring.If any non-programmer want to learn Java then this place is the right option. There are many Java training institutes in city, however the thing which makes Mikado Solutions and Sanjay Sir exceptional is Quality of Teaching and connection with the students. It is sheer hardwork and excellence of Sanjay Sir to help each student to excel in career.

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      Morgan Stanley

      It had been around 2.7 year in industry as a java developer now i can say that taking admission here for java training was the best decision taken ever … Sanjay sir’s java knowledge is vast and the way of explaining things is exceptionally great. I have completed core and advanced java in mikado and before the completion of my course i got placed.


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