Data Science Dojo

AUGUST 30, 2023

It is at the forefront of artificial intelligence, driving the decision-making process of businesses, governments, and organizations worldwide. Statistical analysis and hypothesis testing Statistical methods provide powerful tools for understanding data.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

OCTOBER 14, 2024

Specialised Master’s Programs Specialised Master’s programs focus on niche areas within Data Science, such as Artificial Intelligence , Big Data , or Machine Learning. Big Data Technologies: Exposure to tools like Hadoop and Spark equips students with skills to handle vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MAY 31, 2023

Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Accordingly, you need to make sense of the data that you derive from the various sources for which knowledge in probability, hypothesis testing, regression analysis is important.

Data Science 52

Data Science Python Data Scientist Machine Learning 52