Perform data science with Azure Databricks by Microsoft Corporation via Coursera: Fee, Duration, How to Apply

Quick facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based	Learning efforts 10 Hours Per Week

Course overview

Performing data science with Azure Databricks requires about 3 weeks to complete. Microsoft is the associate of Coursera in designing and delivering the online programme. This certification is a sub-programme in the five-course umbrella programme of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate. As experienced and expert professionals prepare the programme at Microsoft, the learners can have intensive training on data science processes with Azure Databricks, Databricks Azure, Azure Spark and Apache Spark.

Perform data science with Azure Databricks Certification Course, offered by Coursera, an intermediate-level programme. The learners of this programme should have experience with using Python for data exploration and machine learning models with open-source frameworks, such as TensorFlow, Scikit-Learn and PyTorch. Perform data science with Azure Databricks Certification by Coursera can be taken and covered at the learners’ pace.

The highlights

Provided by Coursera
Offered by Microsoft
Flexible Deadlines
Intermediate level course
Shareable Certificate
Financial Aid Available
Self-Paced Learning Option
100% Online Course
Around 3 weeks to Complete

Program offerings

English videos with multiple subtitles
Shareable certificate
Financial aid available
Shareable certificates
Self-paced learning option.

Course and certificate fees

Perform data science with Azure Databricks Fee Structure

Duration	Amount in INR
1 Month	INR 1,699
3 Months	INR 3,499 (INR 1,699 /month)
6 Months	INR 5,199 (INR 867 /month)

certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

Work Experience

The learners of the programme are required to have the experience of exploring data with the help of Python and machine learning models with open-source frameworks, including PyTorch, Scikit-Learn, and TensorFlow.

Certification Qualifying Details

The learners must have completed the course and paid the course fee to get hold of the certificate of the Perform data science with Azure Databricks online course.

What you will learn

Data science knowledge Knowledge of apache spark

Perform data science with Azure Databricks Certification Syllabus will enable you to get the capacity to:

Use Azure Databricks and the Apache Spark notebook to process large amounts of data
To perform the data science workloads with the powerful clusters running on the Azure Databricks platform and the power of Apache Spark.
Get familiar with User-Defined Function (UDF) in Azure data bricks and DataFrames in Azure data bricks.
Use Azure Databricks to do machine learning.
The process of querying and building a Delta Lake.

Who it is for

Data scientist Machine learning engineer

Performing data science with Azure Databricks Classes is a suitable programme for the professionals such as Data scientists, ML engineers, and the like.

Admission details

Step 1 - Browse the official URL

https://www.coursera.org/learn/perform-data-science-with-azure-databricks

Step 2 - Choose the option ‘Enroll Now’ and join the online programme.

The syllabus

Module 1: Introduction to Azure Databricks

Videos

Introduction to the course
Explain Azure Databricks
Lesson summary
Lesson introduction
Understand the architecture of Azure Databricks Spark cluster
Understand the architecture of spark job
Lesson summary

Readings

Course syllabus
How to be successful in this course
Create an Azure Databricks workspace and cluster
Create and execute a notebook
Exercise: Work with Notebooks

Practice Exercises

Exercise quiz
Knowledge check
Knowledge check
Test prep

Module 2: Working with data in Azure Databricks

Videos

Lesson introduction
Lesson summary
Lesson introduction
Lesson summary

Readings

Read data in CSV format
Read data in JSON format
Read data in Parquet format
Read data stored in tables and views
Write data
Exercises: Read and write data
Describe a DataFrame
Use common DataFrame methods
Use the display function
Exercise: Distinct articles

Practice Exercises

Exercise quiz
Knowledge check
Knowledge check
Test prep

Module 3: Processing data in Azure Databricks

Videos

Describe the open source Delta Lake
Lesson summary
Lesson introduction
Lesson summary

Readings

Get started with Delta using Spark APIs
Exercise: Work with basic Delta Lake functionality
Describe how Azure Databricks manages Delta Lake
Exercise: Use the Delta Lake Time Machine and perform optimization
Write user defined functions
Exercise: Perform Extract, Transform, Load (ETL) operations using user-defined functions
Additional resources

Practice Exercises

Exercise quiz
Exercise quiz
Knowledge check
Exercise quiz
Knowledge check
Test prep

Module 4: Get started with Databricks and machine learning

Videos

Lesson introduction
Lesson summary
Lesson introduction
Lesson summary

Readings

Understand machine learning
Exercise: Train a model and create predictions
Understand data using exploratory data analysis
Exercise: Perform exploratory data analysis
Describe machine learning workflows
Exercise: Build and evaluate a baseline machine learning model
Perform featurization of the dataset
Exercise: Finish featurization of the dataset
Understand regression modeling
Exercise: Build and interpret a regression model
Additional resources

Practice Exercises

Exercise quiz
Exercise Quiz
Exercise quiz
Knowledge check
Exercise quiz
Exercise quiz
Knowledge check
Test prep

Module 5: Manage machine learning lifecycles and fine tune models

Videos

Lesson introduction
Lesson summary
Lesson introduction
Lesson summary

Readings

Use MLflow to track experiments, log metrics, and compare runs
Exercise: Work with MLflow to track experiment metrics, parameters, artifacts and modelss
Describe model selection and hyperparameter tuning
Exercise: Select optimal model by tuning hyperparameters
Additional resources

Practice Exercises

Exercsie quiz
Knowledge check
Exercsie quiz
Knowledge check
Test prep

Module 6: Train a distributed neural network and serve models with Azure Machine Learning

Videos

Lesson introduction
Lesson summary
Lesson introduction
Lesson summary
Congratulations

Readings

Use Horovod to train a deep learning model
Use Petastorm to read in Apache Parquet format with Horovod for distributed model training
Exercise: Work with Horovod and Petastorm for training a deep learning model
Use Azure Machine Learning to deploy serving models
Additional resources
Next steps

Practice Exercises

Exercsie quiz
Knowledge check
Knowledge check
Test prep

Scholarship Details

Financial assistance for the learners of Perform data science with Azure Databricks Certification is available. The scholarship is primarily meant for learners who face financial difficulties in paying the fee of the Azure Databricks tutorial programme and the distribution of the financial aid is purely based on their financial background.

How it helps

Perform data science with Azure Databricks Certification benefits for the learners are that they can learn about Apache Spark, the process of data science with Azure Databricks, Microsoft Azure Databricks, and the like. Plus, a shareable certificate offered by Microsoft will also be provided to the learners at the end.