Dataframe Replace Nan With 0 Courses

Data Engineering, PySpark, Data Analysis, Coding exercise, Data Analytics

Rating: 5

A Python Pandas crash course to teach you all the essentials to get started with data analytics

Rating: 4.83333

Data Extraction - Data Cleaning - Data Analysis

Rating: 4.8

Master Pandas library to Analyze, Manipulate & Visualize Big Data. Data Analysis with Pandas using Multiple Projects

Rating: 4.76923

Learn to train custom object detection model using Python, OpenCV. Develop web app with Streamlit

Rating: 4.76471

Data Engineering, PySpark, Coding exercise

Rating: 4.75

Financial Data Analysis and Visualization with Python: The HighQuality Study kit

Rating: 4.71429

Data Analysis with Python libraries - NumPy, Pandas, MatplotLib and Seaborn | 150+ MCQ Question | 2 Projects

Rating: 4.7

Databricks Associate Certification Practice Questions (PySpark/Python), Tests + Detailed Explanations + Exam Tips&Tricks

Rating: 4.62139

Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.

Rating: 4.62037

[2022] Build 30+ ML Projects in 30 Days in AWS, Master SageMaker JumpStart, Canvas, AutoPilot, DataWrangler, Lambda & S3

Rating: 4.61594

Real World Project on Formula1 Racing for Data Engineers using Azure Databricks, Delta Lake, Azure Data Factory [DP203]

Rating: 4.61293

Learn to build pactical backtesting system from scratch, optimization, quantitative trading simulation, screening system

Rating: 4.57143

With Exercises : Learn to use NumPy, Pandas, Seaborn , Matplotlib for Data Manipulation and Exploration with Python

Rating: 4.54167

Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift

Rating: 4.53734

Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

Rating: 4.53283

Learn how to use Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks) - Beginner to Ninja

Rating: 4.52

A Comprehensive Study of the Basic (and many advanced) skills required by any Python developer: Web, Data Analysis

Rating: 4.51961

100% guarantee to pass CCA175 exam || Spark Warmup || Real Exam like questions || 2 Practice Exams with Solutions

Rating: 4.5

Immerse yourself in a long, comprehensive project that teaches advanced Python concepts to build an entire library

Rating: 4.5

Apache Spark with Scala Crash Course useful for Databricks Certification Unofficial for beginners

Rating: 4.45455

Learn how to process big-data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL

Rating: 4.44737

Effectively apply Advanced Analytics to large datasets using the power of PySpark

Rating: 4.4

In-depth course on Big Data - Apache Spark , Hadoop , Sqoop , Flume & Apache Hive, MongoDB & Big Data Cluster setup

Rating: 4.39264

Prepare for the Databricks Certified Associate Developer for Apache Spark 3.0 with Python Certification Exam

Rating: 4.35

Learn How To Code Python For Data Science, ML & Data Analysis, With 100+ Exercises and 4 Real Life Projects !

Rating: 4.32812

Theory, Lab programs, and Tutorials on Job Interview Questions and Solutions of problems from University Exam papers

Rating: 4.31081

Data Engineering, Spark, Hive, Python, PySpark, Scala, Coding framework, Testing, IntelliJ, Maven, Glue, Streaming,

Rating: 4.30556

Learn PySpark in depth with hundreds of Practical examples. Be a complete PySpark Developer. Set up a Hadoop Cluster.

Rating: 4.26613

Be prepared for the Microsoft Azure Exam DP-203: Data Engineering on Microsoft Azure

Rating: 4.26316

Learn PySpark, fundamentals of Apache Spark with Python

Rating: 4.25

The Ultimate Pandas Tutorial for Data Science Beginners - 2022 Q4 Updated

Rating: 4.25

Learn Supervised & Unsupervised ML, Machine Learning Process, Models, Python, NumPy, Pandas, Seaborn, Data Visualisation

Rating: 4.25

Learn model building, algorithms, data science PLUS 30 hours of step by step coding, libraries, arguments, projects +++

Rating: 4.20455

Covers all Essential Python topics and Libraries for Data Science or Machine Learning Beginner.

Rating: 4.2

Intense course to learn Apache Spark with lots of hands on, in-depth internals, running spark on cloud and much more.

Rating: 4.2

Learn fundamental concept about databricks and process big data by building your first data pipeline on Azure

Rating: 4.18182

Hands-on Data Interaction and Manipulation.

Rating: 4.10714

Learn the main functions of Pandas for data analysis and visualization in less than 2 hours. Theory and hands-on.

Rating: 4.1

Numpy Pandas Matplotlib Seaborn Ploty Machine Learning Scikit-Learn Data Science Recommender system NLP Theory Hands-on

Rating: 4.1