Analytics
Exploratory Data Analysis
From 0 to 1 : Spark for Data Science with Python
Get your data to fly using Spark for analytics, machine learning and data science
₹429
₹3319
87% OFF✓ Compare courses before making a decision
Check Latest Price →Price may vary. Check latest price on provider site.
Course Insight
Designed for advanced/expert practitioners. Designed for experienced practitioners. We recommend having a solid grasp of Data Science fundamentals before starting this specialization.
Advanced LevelCertification IncludedSelf-Paced LearningHands-On Learning
SKILLS TO
MASTER
ModelingTrending
Predictive Machine LearningSQL Querying
Relational Data ManagementCareers:Data Scientist, Data Analyst, Machine Learning Engineer.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.
What You’ll Learn
Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.
Get your data to fly using Spark for analytics, machine learning and data science
Let’s parse that.
What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.
Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.
Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets.
What's Covered:
Lot's of cool stuff ..
.. and of course all the Spark basic and advanced features:
See how this course curriculum compares with alternatives
Outcomes
- Use Spark for a variety of analytics and Machine Learning tasks .
- Implement complex algorithms like PageRank or Music Recommendations .
- Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings.
- Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX.
See side-by-side differences in learning outcomes
FAQs
Reviews
⭐4.7 / 5 average rating from 776+ learners
View detailed reviews on Udemy →Unsure about these reviews? Compare with other top courses
Deals
This course is currently available at a discounted price ₹429 ₹3319 (87% OFF) on Udemy. Udemy also offers deals on other courses from time to time — click below to explore
Explore Deals on Udemy →Deals and prices are set by the provider and may change. Please check final details on the provider’s site.
Top Alternatives
Highly-rated courses worth your attention
⭐ 4.6(776+ learners)
✓ Compare side-by-side before spending money
Price may vary. Check latest price on provider site.