Data Science Dojo

JULY 7, 2023

Data Science intertwines statistics, problem-solving, and programming to extract valuable insights from vast data sets. This discipline takes raw data, deciphers it, and turns it into a digestible format using various tools and algorithms. Tools such as Python, R, and SQL help to manipulate and analyze data.

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Pickl AI

JULY 6, 2023

Here comes the role of Hive in Hadoop. Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. In this blog, we will explore the key aspects of Hive Hadoop. What is Hadoop ? Thus ensuring optimal performance.

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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. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists require a robust technical foundation.

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Pickl AI

OCTOBER 27, 2024

Key Takeaways Over 25,000 Data Science positions available across various industries. Average salary for Data Scientists is around ₹13,00,000 annually. Data Science skills apply to finance, healthcare, e-commerce, and technology. Data Scientists drive data-driven decisions, influencing business and societal outcomes.

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Smart Data Collective

OCTOBER 14, 2019

Businesses need software developers that can help ensure data is collected and efficiently stored. They’re looking to hire experienced data analysts, data scientists and data engineers. With big data careers in high demand, the required skillsets will include: Apache Hadoop. NoSQL and SQL.

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Pickl AI

FEBRUARY 28, 2023

If you’re an aspiring professional in the technological world and love to play with numbers and codes, you have two career paths- Data Analyst and Data Scientist. What are the critical differences between Data Analyst vs Data Scientist? Who is a Data Scientist? Let’s find out!

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Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

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Data Science 101

JUNE 10, 2019

Before jumping into a data science career , there are a few questions you should be able to answer: How do you break into the profession? What skills do you need to become a data scientist? Where are the best data science jobs? First, it’s important to understand what data science is. Data Scientists.

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Pickl AI

APRIL 28, 2023

A Data Scientist’s average salary in India is up to₹ 8.0 Well, one of the key factors drawing attention towards the Data Scientist job profile is the higher pay package. In fact, the highest salary of a Data Scientist in India can be up to ₹ 26.0 Data Scientist Salary in Hyderabad : ₹ 8.0

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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. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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Smart Data Collective

NOVEMBER 8, 2020

Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. Northwestern University has a great list of ways that people can pursue a career in data science. Data processing is often done in batches.

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Dataconomy

JULY 25, 2023

So, if a simple yes has convinced you, you can go straight to learning how to become a data scientist. But if you want to learn more about data science, today’s emerging profession that will shape your future, just a few minutes of reading can answer all your questions. In the corporate world, fast wins.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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ODSC - Open Data Science

JANUARY 7, 2025

Heres what we noticed from analyzing this data, highlighting whats remained the same over the years, and what additions help make the modern data scientist in2025. Data Science Of course, a data scientist should know data science! Joking aside, this does infer particular skills.

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Alation

FEBRUARY 20, 2020

With an aggregate view of patterns in the decisions made by many analysts running queries against the same data, you could derive more depth into the intent behind the analysis and promote greater reproducibility, transparency and productivity with data. This usage context is critical to answer data consumers’ and stewards’ questions.

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Mlearning.ai

MAY 23, 2023

Answering one of the most common questions I get asked as a Senior Data Scientist — What skills and educational background are necessary to become a data scientist? Photo by Eunice Lituañas on Unsplash To become a data scientist, a combination of technical skills and educational background is typically required.

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Smart Data Collective

MAY 20, 2019

These regulations have a monumental impact on data processing and handling , consumer profiling and data security. Data scientists and analysts who understand the ramifications can help organizations navigate the guidelines, and are skilled in both data privacy and security are in high demand.

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Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Pickl AI

JANUARY 13, 2025

The top 10 AI jobs include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Essential skills for these roles encompass programming, machine learning knowledge, data management, and soft skills like communication and problem-solving. Proficiency in programming languages like Python and SQL.

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phData

NOVEMBER 8, 2024

Each snapshot has a separate manifest file that keeps track of the data files associated with that snapshot and hence can be restored/queries whenever needed. Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data.

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O'Reilly Media

SEPTEMBER 15, 2021

When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises: Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). But we believe that this data shows something significant. Salaries by Programming Language.

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DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. It versions tables instead of files and has a SQL query interface for those tables.

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Pickl AI

JULY 24, 2023

With the abundance of data available, organizations across various industries are leveraging data science to gain valuable insights and make informed decisions. Pursuing a data science certification course makes you eligible to get the best Data Science salary in India. What is Data Science?

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Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Their work ensures that data flows seamlessly through the organisation, making it easier for Data Scientists and Analysts to access and analyse information.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

Flexibility and Agility Data lakes provide flexibility, enabling organizations to store diverse data types without worrying about immediate data modeling. This allows data scientists, analysts, and other stakeholders to perform exploratory analyses and derive insights without prior knowledge of the data structure.

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Pickl AI

AUGUST 1, 2023

It involves the design, development, and maintenance of systems, tools, and processes that enable the acquisition, storage, processing, and analysis of large volumes of data. Data Engineers work to build and maintain data pipelines, databases, and data warehouses that can handle the collection, storage, and retrieval of vast amounts of data.

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Pickl AI

APRIL 6, 2023

Data Engineering is one of the most productive job roles today because it imbibes both the skills required for software engineering and programming and advanced analytics needed by Data Scientists. How to Become an Azure Data Engineer? Having experience using at least one end-to-end Azure data lake project.

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Pickl AI

AUGUST 9, 2024

Big Data Technologies and Tools A comprehensive syllabus should introduce students to the key technologies and tools used in Big Data analytics. 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.

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IBM Journey to AI blog

JULY 6, 2023

It processes enormous amounts of data a human wouldn’t be able to work through in a lifetime and evolves as more data is processed. Challenges of data science Across most companies, finding, cleaning and preparing the proper data for analysis can take up to 80% of a data scientist’s day.

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Pickl AI

JUNE 19, 2024

This blog post will be your one-stop guide, delving into the Data Science course eligibility and other essential requirements, technical skills, and non-technical qualities sought after in aspiring Data Scientists. Introduction to Data Science Courses Data Science courses come in various shapes and sizes.

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Pickl AI

MAY 31, 2023

Data Manipulation and Analysis: your skills in data manipulation is important to ensure that you are able to concisely analyse the data that you have gathered. Consequently, you need to be skilled in cleaning, manipulating, and structuring the data efficiently. Also Read: How to become a Data Scientist after 10th?

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ODSC - Open Data Science

APRIL 26, 2023

Though just about every industry imaginable utilizes the skills of a data-focused professional, each has its own challenges, needs, and desired outcomes. This is why you’ll often find that there are jobs in AI specific to an industry, or desired outcome when it comes to data.

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Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. A lot of you who are already in the data science field must be familiar with BigQuery and its advantages.

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DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g.,

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Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources.

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