Pickl AI

JUNE 5, 2025

Exploratory Data Analysis (EDA): Identifying trends, patterns, and anomalies using statistical tools to understand data characteristics and inform modeling strategies. Big Data: Apache Hadoop, Apache Spark. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical. Master’s and Ph.D.:

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

APRIL 21, 2025

Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks. Data Science provides the tools, techniques, and expertise to unlock the potential Value hidden within Big Data.

Big Data 52

Big Data Big Data Data Science Machine Learning 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. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52