- 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
- Home
- Microsoft Corporation
- Courses
- Perform data science with Azure Databricks
Perform data science with Azure Databricks
Get familiar with the data science process with Azure Databricks by joining the online courses offered by Coursera.
Intermediate
Online
6 Weeks
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
Performing data science with Azure Databricks requires about 26 hours 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 26 Hours 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 Certification Fee is structured month-wise based on how many months the learners will be on the online program. The fee statute is available as one month, three months, and six months. The option of EMI is also available for the fee payment.
Perform data science with Azure Databricks Fee Structure
Duration | Amount in INR |
1 Month | INR 3,990 |
3 Months | INR 7,980 (INR 2,660 /month) |
6 Months | INR 11,970 (INR 1,995 /month) |
certificate availability
certificate providing authority
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
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
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
Week 1: Introduction to Azure Databricks
Videos
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
Week 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
Week 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
Week 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
Week 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
Week 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.
FAQs
The company that provides the online programme is Microsoft.
Now, 1,900 learners have enrolled in the course so far.
The star rating of the online Microsoft programme is 3.9.
The online certification is intended for intermediate-level learners.
The online programme is the part of Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate programme.
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