Hello Everyone 👨💻👩💻 !!
Welcome back to ANALYTICSWITHANAND
I WELCOME YOU ALL INTO THE WORLD OF ANALYTICS📊
So finally the much-awaited course for all the Data Analytics/Business Analytics folks to master PYSPARK WITH DATABRICKS is coming up LIVE for all.
Course commencing LIVE from 1st March 2025 every Sat-Sun from 11 AM - 1PM
Prerequisites:
-> Proficiency in basic Python programming
-> No prior experience in big data technologies is required
Target Audience : This course is ideal for
-> Data analysts and data engineers looking to enhance their big data capabilities
-> Machine learning practitioners interested in scaling their models
-> Professionals transitioning into data engineering roles
-> Python developers exploring big data analytics
Key Highlights:
-> 48 hours of live, instructor-led sessions
-> Comprehensive coverage of Spark core concepts and advanced features
-> Hands-on coding using PySpark on Databricks
-> Real-time data streaming and machine learning integration
-> Interactive coding walkthroughs on PySpark
-> Real-world datasets for hands-on projects
-> Performance optimization tips
-> Collaborative coding with Databricks notebooks
-> Capstone project on Change Data Capture and Replication
What You'll Learn:
-> Spark Architecture and Components
-> Spark SQL, DataFrames, and RDD Essentials
-> Data Wrangling and Pandas API on Spark
-> Distributed Processing Challenges and Performance -> Tuning
-> Real-Time Data Processing with Spark Structured Streaming
-> Building ETL Pipelines and Machine Learning Models with MLlib
-> Hands-on use cases: Kafka integration, NLP, and Forecasting
The Mastering PySpark with Databricks course is a hands-on, immersive program designed to equip data enthusiasts and professionals with the skills required to harness the power of big data analytics using Apache Spark and Databricks. Whether you're aiming to process large datasets, build scalable machine learning models, or optimize distributed data processing, this course covers it all.
With a strong focus on practical applications, participants will explore the inner workings of Spark architecture, dive deep into Spark DataFrames, RDDs, and Spark SQL, and gain advanced knowledge of streaming data and performance optimization. Real-world datasets and live coding sessions will enable you to handle structured, semi-structured (JSON), and unstructured (log) data efficiently.
By the end of the course, learners will be proficient in building robust ETL pipelines, implementing machine learning models, and executing advanced use cases like natural language processing and time-series forecasting in parallel on big data systems.
Key Deliverables :
-> Live access to project-based learning
-> Real-world examples for structured and unstructured data processing
-> Industry-relevant use cases such as real-time streaming and machine learning
-> Capstone project on Change Data Capture and Replication
Why choose our course?
🏆 Taught by industry experts with real-world experience.
💼 Hands-on projects to apply your knowledge.
🎓 Learn in a student-friendly environment.
💻 Access to cutting-edge analytics tools.
🌟 Boost your resume and stand out to employers.
Features :
-> Access to course both on APP & WEB so that you stay connected forever.
-> Weekly connect once with every student to track your progress
-> Taught By industry led Expert (including me 🕺)
-> Live Class along with Recordings (if you miss any class)
-> Notes & Files will be shared using Github( so as to learn new technology)
-> Dedicated support 24x7 by mentors
-> Hand on Real Industry Projects from expert Faculty
ANALYTICS📊WITH🕺ANAND
Hello Everyone 👨💻👩💻 !!
Welcome back to ANALYTICSWITHANAND
I WELCOME YOU ALL INTO THE WORLD OF ANALYTICS📊
So finally the much-awaited course for all the Data Analytics/Business Analytics folks to master PYSPARK WITH DATABRICKS is coming up LIVE for all.
Course commencing LIVE from 1st March 2025 every Sat-Sun from 11 AM - 1PM
Prerequisites:
-> Proficiency in basic Python programming
-> No prior experience in big data technologies is required
Target Audience : This course is ideal for
-> Data analysts and data engineers looking to enhance their big data capabilities
-> Machine learning practitioners interested in scaling their models
-> Professionals transitioning into data engineering roles
-> Python developers exploring big data analytics
Key Highlights:
-> 48 hours of live, instructor-led sessions
-> Comprehensive coverage of Spark core concepts and advanced features
-> Hands-on coding using PySpark on Databricks
-> Real-time data streaming and machine learning integration
-> Interactive coding walkthroughs on PySpark
-> Real-world datasets for hands-on projects
-> Performance optimization tips
-> Collaborative coding with Databricks notebooks
-> Capstone project on Change Data Capture and Replication
What You'll Learn:
-> Spark Architecture and Components
-> Spark SQL, DataFrames, and RDD Essentials
-> Data Wrangling and Pandas API on Spark
-> Distributed Processing Challenges and Performance -> Tuning
-> Real-Time Data Processing with Spark Structured Streaming
-> Building ETL Pipelines and Machine Learning Models with MLlib
-> Hands-on use cases: Kafka integration, NLP, and Forecasting
The Mastering PySpark with Databricks course is a hands-on, immersive program designed to equip data enthusiasts and professionals with the skills required to harness the power of big data analytics using Apache Spark and Databricks. Whether you're aiming to process large datasets, build scalable machine learning models, or optimize distributed data processing, this course covers it all.
With a strong focus on practical applications, participants will explore the inner workings of Spark architecture, dive deep into Spark DataFrames, RDDs, and Spark SQL, and gain advanced knowledge of streaming data and performance optimization. Real-world datasets and live coding sessions will enable you to handle structured, semi-structured (JSON), and unstructured (log) data efficiently.
By the end of the course, learners will be proficient in building robust ETL pipelines, implementing machine learning models, and executing advanced use cases like natural language processing and time-series forecasting in parallel on big data systems.
Key Deliverables :
-> Live access to project-based learning
-> Real-world examples for structured and unstructured data processing
-> Industry-relevant use cases such as real-time streaming and machine learning
-> Capstone project on Change Data Capture and Replication
Why choose our course?
🏆 Taught by industry experts with real-world experience.
💼 Hands-on projects to apply your knowledge.
🎓 Learn in a student-friendly environment.
💻 Access to cutting-edge analytics tools.
🌟 Boost your resume and stand out to employers.
Features :
-> Access to course both on APP & WEB so that you stay connected forever.
-> Weekly connect once with every student to track your progress
-> Taught By industry led Expert (including me 🕺)
-> Live Class along with Recordings (if you miss any class)
-> Notes & Files will be shared using Github( so as to learn new technology)
-> Dedicated support 24x7 by mentors
-> Hand on Real Industry Projects from expert Faculty
Hurry Up & Enroll Now
Course Link : www.analyticswithanand.in/courses/632394
Syllabus : docs.google.com/spreadsheets/d/e/2PACX-1vQvf-zKwcr…
For any Queries kindly reach us on :-
📧 info@analyticswithanand.in
📞 +918618800846
Let Data Drive Your Success! 👉 Join Today! 🌟
HURRY UP !!
ENROLL NOW !!
#dataanalytics #dataengineer #newcourse #pyspark #spark #databricks #azure #enrollnow
6 months ago (edited) | [YT] | 0