Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. Getting Started with SQL Programming: Are you starting your journey in data science? If you’re new to SQL, this beginner-friendly tutorial is for you!

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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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

R : Often used for statistical analysis and data visualization. Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught.

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Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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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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Dataconomy

JULY 28, 2023

Data preprocessing ensures the removal of incorrect, incomplete, and inaccurate data from datasets, leading to the creation of accurate and useful datasets for analysis ( Image Credit ) Data completeness One of the primary requirements for data preprocessing is ensuring that the dataset is complete, with minimal missing values.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

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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ODSC - Open Data Science

APRIL 11, 2023

That’s because by avoiding these common mistakes, aspiring data scientists can give themselves the best chance of success in this exciting and constantly evolving field. Though SQL is decades old and is still the “go-to” when it comes to the management of unstructured data, it doesn’t mean that you should neglect your other skills.

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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

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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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

JUNE 12, 2023

With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data.

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ODSC - Open Data Science

APRIL 3, 2023

While there’s a need for analyzing smaller datasets on your laptop, expanding into TB+ datasets requires a whole new set of skills and data analytics frameworks. Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart.

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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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phData

MARCH 27, 2024

The SnowPro Advanced Data Engineer Certification tests Data and Software Engineers for comprehensive knowledge and skills needed to apply data engineering principles using Snowflake. The answer to this question depends on your study schedule, familiarity with SQL, and understanding of topics as you advance through the platform.

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Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. Skillset Required Data Scientists need strong programming skills.

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Pickl AI

NOVEMBER 5, 2024

Here are some important factors to consider to get the most value out of your chosen course: Course Content and Relevance : Ensure the course covers foundational topics like Data Analysis, statistics, and Machine Learning, along with essential tools such as Python and SQL. Data Science Course by Pickl.AI

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Pickl AI

FEBRUARY 20, 2025

How Business Analysts and Data Analysts Overlap While Data Analysts work more closely with data, Business Analysts focus more on addressing the needs of an organisation and improving business performance. Despite their distinct roles, Data Analysts and Business Analysts share common ground. Tableau, Power BI).

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Pickl AI

SEPTEMBER 12, 2023

Whether you aspire to become a software developer, Data Scientist , cybersecurity expert, or IT manager, the post-BCA landscape offers a multitude of courses designed to shape your expertise and propel you toward success in the ever-evolving field of technology. Why Pursue a Course in Data Science?

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Pickl AI

FEBRUARY 27, 2024

It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization. Participants learn to leverage tools like Excel, Python, and SQL for data manipulation and analysis, enabling better financial modeling and forecasting decision-making.

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Data Visualization SQL Data Analyst Data Analysis 52

Pickl AI

JULY 30, 2024

Skills Develop proficiency in programming languages like Python , R, and SQL. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel. It is useful for visualising complex data and identifying patterns and trends. It is useful for visualising complex data and identifying patterns and trends.

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Cloud Computing Machine Learning Machine Learning Power BI 52

DataSeries

AUGUST 15, 2024

Practice Coding and Algorithmic Problem-Solving Data engineers often encounter complex problems that need coding and algorithmic data engineering skills to solve efficiently. Practice coding with the help of languages that are used in data engineering like Python, SQL, Scala, or Java.

Data Engineer 40

Data Engineer Data Engineering Data Engineering Data Engineering 40

Pickl AI

JULY 28, 2023

Python, R, SQL), any libraries or frameworks, and data manipulation techniques employed. Showcase Data Storytelling: Employ data storytelling techniques to communicate the results of your analysis effectively. You can enormously take up SQL Projects for Data Analyst portfolio showcasing your skills.

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Pickl AI

APRIL 18, 2023

The average Data Analyst salary in India is Rs. How to Become a Data Analyst with No Experience? Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in. lakhs per annum, according to Glassdoor.

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AWS Machine Learning Blog

MARCH 8, 2023

One function to consolidate and prepare the data for training. Amazon Athena to provide developers and business analysts SQL access to the generated data for analysis and troubleshooting. Amazon EventBridge to trigger the data ingestion and ML pipeline on a schedule and in response to events. He holds a Ph.D.

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Pickl AI

JULY 10, 2024

Focus on Data Science tools and business intelligence. Practical skills in SQL, Python, and Machine Learning. Focus on exploratory Data Analysis and feature engineering. Ideal starting point for aspiring Data Scientists. Hands-on experience through a 1-month internship.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. While an RDBMS can still be used in a modern data stack, it is not as common because it is not as well-suited for managing big data.

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Pickl AI

AUGUST 9, 2024

NoSQL Databases These databases, such as MongoDB, Cassandra, and HBase, are designed to handle unstructured and semi-structured data, providing flexibility and scalability for modern applications. Understanding the differences between SQL and NoSQL databases is crucial for students. js for creating interactive visualisations.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

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Dataconomy

MARCH 5, 2025

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant.

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Pickl AI

APRIL 2, 2024

Building Your Data Science Team Data science talent is in high demand. Here are some options to consider: Hire Data Scientists: This is ideal for complex projects requiring expertise in specific areas. Upskill Existing Employees: Train employees with analytical skills in data science fundamentals.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

phData

MARCH 7, 2025

How Copilot Can Enhance Your Workflow Here are just a few ways Copilot can supercharge your data workflows: Boost Productivity: Let’s be honest, some data tasks are tedious. Copilot automates those repetitive tasks, like writing DAX queries or creating Power BI visuals, so that you can focus on the big picture.

Power BI 52

Power BI SQL Data Engineer Data Engineering 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.

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