Pickl AI

JUNE 5, 2025

Below are the essential core skills that aspiring and practicing data scientists need to excel in India’s competitive job market: Programming Languages: Proficiency in Python and R is essential. SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Big Data: Apache Hadoop, Apache Spark.

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Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Operations Analysts focus on improving business processes by leveraging performance data.

Data Science 52

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Mlearning.ai

MAY 23, 2023

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

Data Science 52

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Pickl AI

JULY 18, 2023

Additionally, its natural language processing capabilities and Machine Learning frameworks like TensorFlow and scikit-learn make Python an all-in-one language for Data Science. SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases.

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DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. In contrast, such traditional query languages struggle to interpret unstructured data. It allows unstructured data to be moved and processed easily between systems.

Machine Learning 52

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Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. You should be skilled in using a variety of tools including SQL and Python libraries like Pandas.

Data Science 52

Data Science Python Data Scientist Machine Learning 52