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- 86% PySpark Essentials for Data Scientists (Big Data + Python)

PySpark Essentials for Data Scientists (Big Data + Python)

$94.99 $12.99Track price

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9.2/10 (Our Score)
Product is rated as #41 in category Python

This course is for data scientists (or aspiring data scientists) who want to get PRACTICAL training in PySpark (Python for Apache Spark) using REAL WORLD datasets and APPLICABLE coding knowledge that you ll use everyday as a data scientist! By enrolling in this course, you ll gain access to over 100 lectures, hundreds of example problems and quizzes and over 100,000 lines of code!

I m going to provide the essentials for what you need to know to be an expert in Pyspark by the end of this course, that I ve designed based on my EXTENSIVE experience consulting as a data scientist for clients like the IRS, the US Department of Labor and United States Veterans Affairs.

I ve structured the lectures and coding exercises for real world application, so you can understand how PySpark is actually used on the job. We are also going to dive into my custom functions that I wrote MYSELF to get you up and running in the MLlib API fast and make getting started building machine learning models a breeze! We will also touch on MLflow which will help us manage and track our model training and evaluation process in a custom user interface that will make you even more competitive on the job market!

Instructor Details

Layla AI has developed extensive hands-on experience analyzing large data sets and developing automated analytics to assist key front line and executive staff in making critical business decisions, balanced with a graduate degree in quantitative analytics earned at a major research university. Her skills are most predominantly in predictive modeling, SDLC, natural language processing, trend analysis, machine-learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics, both object-oriented and non-object oriented languages like SAS, SQL, PySpark and Python, distributed computing in AWS EMR, database ETL management and other core analytic processes. She also has a proven ability to effectively work across boundaries on a variety of teams developing actionable analytic solutions and implementing strategic organizational objectives using both Waterfall and Agile methodologies in a fast-paced commercial style consulting environment. She most recently lead the analytics effort at the DOL launching a custom data analytics application designed to provide analysts with the tools to infer actionable insights from their data, automate processes, leverage distributed computing capabilities, and scalable database storage. Most notably however, she is a passionate teacher who loves to share her knowledge with the world!

Specification: PySpark Essentials for Data Scientists (Big Data + Python)

Duration

16 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

Yes

13 reviews for PySpark Essentials for Data Scientists (Big Data + Python)

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    Ozzy

    I absolutley LOVE the custom functions you added in the bonus lectures! They were so helpful. And generally, I love your approach to programming. It’s so elegant and graceful. The concepts you cover are exactly what I needed on my job. My team just got started using PySpark and I was really struggling getting started with other courses. But your course gave me some super practical functions and code I could implement right away. THANK YOU for making this course. I can see you poured your heart and sole into it.

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    Arianne Draco

    This course was definitely a great match for what I needed to learn pyspark. The instructor is definitely very Knowledgeable about the material and her teaching style is definitely engaging. The first time I haven t fallen asleep in a technical lecture. Ha ha Hahaha. I also really like the coding approach. It is very elegant and easy to follow.

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    Kathryn Jones

    The instructor is very well spoken. You can tell she’s been doing data science stuff for a while AND that she’s a consultant. She seems to know the coding like the bak of her hand and comes up with really creative ways to tackle problems. The pace could be a bit faster for my person liking but to each their own. I just speed up the video speed.

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    Shayla Baker

    This is course is top notch! I LOVE the examples the instructor gives and the way she talks is very engaging. Her coding methods are also super inventive and easy to follow.

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    Rahid Alfasy

    So far this course is AMAZING! The instructor’s voice is easy on the ears and explains very complicated subjects in an easy to digest fashion. She (yes SHE!) seems to really know her stuff and her coding is extremely elegant. I’m learning a ton!

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    Sarah Jones

    I like the way the way the instructor designed this course. The data frames section is very intuitive and seems to hit all the high points that a real data scientist would use. The bonus lectures are also super cool, especially the MLflow one. I had never seen that used before but will definitely use it at my job.

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    Hanah Granger

    This course is solid. The instructor knows her stuff in and out and has put together really awesome projects with cool datasets. Her approaches to solving the HW assignments and projects are also really creative and unique. My only gripe is that she doesn’t cover spark streaming.

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    Adam Walker

    The instructor is very easy to listen to. I also like the design of the course. It’s much more practical than other courses that just go through each algorithm individually and don’t show how to compare them. Actual data scientists usually compare several algorithms against each other and that is exactly how the instructor approaches the ML portion of the course. You can tell she (YES SHE! also great) has a lot of experience and designed the course very thoughtfully. Hand clap for this one! I hope she adds more lectures in the future about using MLflow… that part was awesome!

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    Tucker Hagan

    This course is definitely solid. Love the examples. And the project exercises are super down to earth.

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    Weber Allen

    Pretty solid course. The example and project are super practical as advertised. Code is creative. Datasets are engaging.

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  11. Avatar

    Anthony Garcia

    This course is REALLY well put together. The concept review lectures are really easy to understand and the coding is inventive and she explains it really well. I’m using PySpark on my job already and have learned A TON with this course that I am able to use for everyday use. The review notebooks have been SUPER useful because I can just search them for what I need. It’s like my own personal google for PySpark!

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    Zeynep Arslan

    This course is definitely top notch. The instructor gives A TON of examples and very good explanations.

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    Marcos Gravley

    This instructor definitely knows her stuff. She is super well spoken and seems to have put a lot of thought into the content of the course. It’s obvious that she has actually had a real job in this field because the examples are super practical which I haven’t seen in many other PySpark courses. The review notebooks she provides are also super useful. I’ve used the dataframes one several times already at my job, as well as the function that corrects for skewness.

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    PySpark Essentials for Data Scientists (Big Data + Python)
    PySpark Essentials for Data Scientists (Big Data + Python)

    $94.99 $12.99

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