Date: 26-03-2024
Company name: Capgemini
Role: Data Analyst
Topic: python, tableau
1. What is the Difference Between a Shallow Copy and Deep Copy in python?
Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy creates a different object and populates it with the references of the child objects within the original object. Therefore, changes in the original object are reflected in the copy. copy.copy creates a Shallow Copy.
2. How can you remove duplicate values in a range of cells?
1. To delete duplicate values in a column, select the highlighted cells, and press the delete button. After deleting the values, go to the ‘Conditional Formatting’ option present in the Home tab. Choose ‘Clear Rules’ to remove the rules from the sheet.
2. You can also delete duplicate values by selecting the ‘Remove Duplicates’ option under Data Tools present in the Data tab.
3. Define shelves and sets in Tableau?
Shelves: Every worksheet in Tableau will have shelves such as columns, rows, marks, filters, pages, and more. By placing filters on shelves we can build our own visualization structure. We can control the marks by including or excluding data.
Sets: The sets are used to compute a condition on which the dataset will be prepared. Data will be grouped together based on a condition. Fields which is responsible for grouping are known assets. For example – students having grades of more than 70%.
Company name: Capgemini
Role: Data Analyst
Topic: python, tableau
1. What is the Difference Between a Shallow Copy and Deep Copy in python?
Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy creates a different object and populates it with the references of the child objects within the original object. Therefore, changes in the original object are reflected in the copy. copy.copy creates a Shallow Copy.
2. How can you remove duplicate values in a range of cells?
1. To delete duplicate values in a column, select the highlighted cells, and press the delete button. After deleting the values, go to the ‘Conditional Formatting’ option present in the Home tab. Choose ‘Clear Rules’ to remove the rules from the sheet.
2. You can also delete duplicate values by selecting the ‘Remove Duplicates’ option under Data Tools present in the Data tab.
3. Define shelves and sets in Tableau?
Shelves: Every worksheet in Tableau will have shelves such as columns, rows, marks, filters, pages, and more. By placing filters on shelves we can build our own visualization structure. We can control the marks by including or excluding data.
Sets: The sets are used to compute a condition on which the dataset will be prepared. Data will be grouped together based on a condition. Fields which is responsible for grouping are known assets. For example – students having grades of more than 70%.
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SteelEye hiring Data Engineer Internship in Bangalore (Hybrid) in Bengaluru, Karnataka, India | LinkedIn
Posted 9:36:38 PM. We are looking to hire a data engineer intern to join our Indian team as we start our next phase of…See this and similar jobs on LinkedIn.
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Interview QnA | Date: 01-04-2024
Company Name: Accenture
Role: Data Scientist
Topic: Silhouette, trend seasonality, bag of words, bagging boosting
1. What do you understand by the term silhouette coefficient?
The silhouette coefficient is a measure of how well clustered together a data point is with respect to the other points in its cluster. It is a measure of how similar a point is to the points in its own cluster, and how dissimilar it is to the points in other clusters. The silhouette coefficient ranges from -1 to 1, with 1 being the best possible score and -1 being the worst possible score.
2. What is the difference between trend and seasonality in time series?
Trends and seasonality are two characteristics of time series metrics that break many models. Trends are continuous increases or decreases in a metric’s value. Seasonality, on the other hand, reflects periodic (cyclical) patterns that occur in a system, usually rising above a baseline and then decreasing again.
3. What is Bag of Words in NLP?
Bag of Words is a commonly used model that depends on word frequencies or occurrences to train a classifier. This model creates an occurrence matrix for documents or sentences irrespective of its grammatical structure or word order.
4. What is the difference between bagging and boosting?
Bagging is a homogeneous weak learners’ model that learns from each other independently in parallel and combines them for determining the model average. Boosting is also a homogeneous weak learners’ model but works differently from Bagging. In this model, learners learn sequentially and adaptively to improve model predictions of a learning algorithm
Company Name: Accenture
Role: Data Scientist
Topic: Silhouette, trend seasonality, bag of words, bagging boosting
1. What do you understand by the term silhouette coefficient?
The silhouette coefficient is a measure of how well clustered together a data point is with respect to the other points in its cluster. It is a measure of how similar a point is to the points in its own cluster, and how dissimilar it is to the points in other clusters. The silhouette coefficient ranges from -1 to 1, with 1 being the best possible score and -1 being the worst possible score.
2. What is the difference between trend and seasonality in time series?
Trends and seasonality are two characteristics of time series metrics that break many models. Trends are continuous increases or decreases in a metric’s value. Seasonality, on the other hand, reflects periodic (cyclical) patterns that occur in a system, usually rising above a baseline and then decreasing again.
3. What is Bag of Words in NLP?
Bag of Words is a commonly used model that depends on word frequencies or occurrences to train a classifier. This model creates an occurrence matrix for documents or sentences irrespective of its grammatical structure or word order.
4. What is the difference between bagging and boosting?
Bagging is a homogeneous weak learners’ model that learns from each other independently in parallel and combines them for determining the model average. Boosting is also a homogeneous weak learners’ model but works differently from Bagging. In this model, learners learn sequentially and adaptively to improve model predictions of a learning algorithm
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Interview QnA | 07-04-2024
Company - The Math Company
Role- Data Analyst
1.How to create filters in Power BI?
Filters are an integral part of Power BI reports. They are used to slice and dice the data as per the dimensions we want. Filters are created in a couple of ways.
Using Slicers: A slicer is a visual under Visualization Pane. This can be added to the design view to filter our reports. When a slicer is added to the design view, it requires a field to be added to it. For example- Slicer can be added for Country fields. Then the data can be filtered based on countries.
Using Filter Pane: The Power BI team has added a filter pane to the reports, which is a single space where we can add different fields as filters. And these fields can be added depending on whether you want to filter only one visual(Visual level filter), or all the visuals in the report page(Page level filters), or applicable to all the pages of the report(report level filters)
2.How to sort data in Power BI?
Sorting is available in multiple formats. In the data view, a common sorting option of alphabetical order is there. Apart from that, we have the option of Sort by column, where one can sort a column based on another column. The sorting option is available in visuals as well. Sort by ascending and descending option by the fields and measure present in the visual is also available.
3.How to convert pdf to excel?
Open the PDF document you want to convert in XLSX format in Acrobat DC.
Go to the right pane and click on the “Export PDF” option.
Choose spreadsheet as the Export format.
Select “Microsoft Excel Workbook.”
Now click “Export.”
Download the converted file or share it.
4. How to enable macros in excel?
Click the file tab and then click “Options.”
A dialog box will appear. In the “Excel Options” dialog box, click on the “Trust Center” and then “Trust Center Settings.”
Go to the “Macro Settings” and select “enable all macros.”
Click OK to apply the macro settings.
Company - The Math Company
Role- Data Analyst
1.How to create filters in Power BI?
Filters are an integral part of Power BI reports. They are used to slice and dice the data as per the dimensions we want. Filters are created in a couple of ways.
Using Slicers: A slicer is a visual under Visualization Pane. This can be added to the design view to filter our reports. When a slicer is added to the design view, it requires a field to be added to it. For example- Slicer can be added for Country fields. Then the data can be filtered based on countries.
Using Filter Pane: The Power BI team has added a filter pane to the reports, which is a single space where we can add different fields as filters. And these fields can be added depending on whether you want to filter only one visual(Visual level filter), or all the visuals in the report page(Page level filters), or applicable to all the pages of the report(report level filters)
2.How to sort data in Power BI?
Sorting is available in multiple formats. In the data view, a common sorting option of alphabetical order is there. Apart from that, we have the option of Sort by column, where one can sort a column based on another column. The sorting option is available in visuals as well. Sort by ascending and descending option by the fields and measure present in the visual is also available.
3.How to convert pdf to excel?
Open the PDF document you want to convert in XLSX format in Acrobat DC.
Go to the right pane and click on the “Export PDF” option.
Choose spreadsheet as the Export format.
Select “Microsoft Excel Workbook.”
Now click “Export.”
Download the converted file or share it.
4. How to enable macros in excel?
Click the file tab and then click “Options.”
A dialog box will appear. In the “Excel Options” dialog box, click on the “Trust Center” and then “Trust Center Settings.”
Go to the “Macro Settings” and select “enable all macros.”
Click OK to apply the macro settings.
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Check out how Vikash switched from Non-Coding Background To Data Science domain in our Latest Podcast Episode
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AI/ML Curriculum Development Work From Home Internship at Sustainable Living Lab (SL2)
Selected intern's day-to-day responsibilities include:
1. Crafting and refining curriculum content that spans artificial intelligence, machine learning, data science, IoT, and Python programming, catering to a diverse global youth audience
2. Developing…
1. Crafting and refining curriculum content that spans artificial intelligence, machine learning, data science, IoT, and Python programming, catering to a diverse global youth audience
2. Developing…
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🚨Interview Questions of #SQL asked in Data Scientist Interviews. Check Now👇🏻
https://www.linkedin.com/posts/akashraj001_sql-datascience-interviewquestions-activity-7183727630871920640-EwOz?utm_source=share&utm_medium=member_desktop
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Check out these #SQL Interview Questions frequently asked in Data Scientist Interviews!🤩
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✅ Basic Level (Focuses on fundamental concepts and operations in SQL, including syntax, basic…
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🌟 Check out these #Python Interview Questions frequently asked in Data Scientist Interviews! 🌟
✅ Basic Level (Focusing on syntax, basic programming concepts, and foundational Python knowledge)
1. What are the key features of Python?
2. Explain the difference between lists and tuples in Python.
3. How do you handle exceptions in Python?
4. What is the use of the pass statement in Python?
5. Describe how to use a loop in Python.
6. What are Python decorators, and why are they used?
7. Explain the concept of mutable and immutable data types in Python.
8. How do you manage memory in Python?
9. What are lambda functions in Python?
10. Describe the use and syntax of the range function in Python.
✅Intermediate Level (More complex programming concepts, including data manipulation, file operations, and the use of libraries)
1. Explain the concept of list comprehensions and provide an example.
2. How do you handle file operations in Python?
3. Describe the use of generators in Python and how they differ from iterators.
4. What is object-oriented programming in Python?
5. How can you manage packages and modules in Python?
6. Explain the use of the Pandas library in data analysis.
7. How do you implement error handling in a more complex Python application?
8. Describe how to use regular expressions in Python for data validation.
9. What is multithreading in Python, and how is it implemented?
10. Explain the differences between deep and shallow copy.
✅Advanced Level (advanced programming techniques, optimization, and system-level programming, along with Python's application in data science and machine learning)
1. How do you optimize the performance of a Python application?
2. Describe the Global Interpreter Lock (GIL) in Python.
3. Explain how Python's garbage collection works.
4. Discuss Python's role in machine learning and artificial intelligence.
5. What are Python's metaclasses, and how would you use them?
6. Explain how to use Python for web scraping and the libraries involved.
7. Describe the process of creating a RESTful API with Python.
8. How do you ensure the security of a Python application?
9. Discuss how Python can be used for data visualization and the libraries that support this.
10. What is asynchronous programming in Python, and how does it differ from multithreading?
✅ Basic Level (Focusing on syntax, basic programming concepts, and foundational Python knowledge)
1. What are the key features of Python?
2. Explain the difference between lists and tuples in Python.
3. How do you handle exceptions in Python?
4. What is the use of the pass statement in Python?
5. Describe how to use a loop in Python.
6. What are Python decorators, and why are they used?
7. Explain the concept of mutable and immutable data types in Python.
8. How do you manage memory in Python?
9. What are lambda functions in Python?
10. Describe the use and syntax of the range function in Python.
✅Intermediate Level (More complex programming concepts, including data manipulation, file operations, and the use of libraries)
1. Explain the concept of list comprehensions and provide an example.
2. How do you handle file operations in Python?
3. Describe the use of generators in Python and how they differ from iterators.
4. What is object-oriented programming in Python?
5. How can you manage packages and modules in Python?
6. Explain the use of the Pandas library in data analysis.
7. How do you implement error handling in a more complex Python application?
8. Describe how to use regular expressions in Python for data validation.
9. What is multithreading in Python, and how is it implemented?
10. Explain the differences between deep and shallow copy.
✅Advanced Level (advanced programming techniques, optimization, and system-level programming, along with Python's application in data science and machine learning)
1. How do you optimize the performance of a Python application?
2. Describe the Global Interpreter Lock (GIL) in Python.
3. Explain how Python's garbage collection works.
4. Discuss Python's role in machine learning and artificial intelligence.
5. What are Python's metaclasses, and how would you use them?
6. Explain how to use Python for web scraping and the libraries involved.
7. Describe the process of creating a RESTful API with Python.
8. How do you ensure the security of a Python application?
9. Discuss how Python can be used for data visualization and the libraries that support this.
10. What is asynchronous programming in Python, and how does it differ from multithreading?
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🚨Latest Job Opening Update🚨
Company – Empenofore Technologies Private Limited
Role – Data Analytics Intern
Exp. – Fresher
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Company – Crisil
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Exp. – 3-6 yrs
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All The Best💙
Company – Empenofore Technologies Private Limited
Role – Data Analytics Intern
Exp. – Fresher
Apply Here – https://internshala.com/internship/details/work-from-home-part-time-data-analytics-internship-at-empenofore-technologies-private-limited1712808868?utm_source=cp_link&referral=web_share
Company – Pearson
Role – Data Engineer - Intern
Exp. – Fresher
Apply Here – https://www.linkedin.com/jobs/view/3884561204
Company – GoodPegg
Role – Business Analyst
Exp. – Fresher
Apply Here – https://www.simplyhired.co.in/job/M47BIw7kiSfChTe_HBW8sW7MwBKz6LJOMM4DloWpQB45Di0YcGzMyg
Company – Datadive AI Private Limited
Role – Machine Learning Engineer
Exp. – 0-1 yr
Apply Here – https://www.linkedin.com/jobs/view/3884059620
Company – VeARC Technologies Private Limited
Role – Data Engineer
Exp. – 0-2 yrs
Apply Here – https://www.linkedin.com/jobs/view/3888483702
Company – DATADNA
Role – Data Scientist
Exp. – 1 + yrs
Apply Here – https://www.linkedin.com/jobs/view/3887144993
Company – BarRaiser
Role – Data Scientist Intern
Exp. – 1+ yrs
Apply Here – https://www.linkedin.com/jobs/view/3883656059
Company – Ensar Solutions
Role – Data Engineer
Exp. – 2-4 yrs
Apply Here – https://www.naukri.com/job-listings-data-engineer-ensar-solutions-hyderabad-2-to-4-years-110424002458?src=jobsearchDesk&sid=17128136598483428_3&xp=10&px=1&nignbevent_src=jobsearchDeskGNB
Company – Infoanalytica
Role – Business Data Analyst
Exp. – 3-7 yrs
Apply Here – https://www.naukri.com/job-listings-business-data-analyst-infoanalytica-ahmedabad-3-to-7-years-120224002752?src=jobsearchDesk&sid=17128136598483428_3&xp=6&px=1&nignbevent_src=jobsearchDeskGNB
Company – Crisil
Role – Data Scientist
Exp. – 3-6 yrs
Apply Here – https://www.naukri.com/job-listings-data-scientist-crisil-limited-mumbai-pune-3-to-6-years-110424003527?src=sortby&sid=17128175468134932_1&xp=5&px=1&nignbevent_src=jobsearchDeskGNB
All The Best💙
Internshala
Data Analytics Work From Home Part Time Internship at Empenofore Technologies
Are you a tech-savvy individual with a passion for data analytics and machine learning? Look no further! Join Empenofore Technologies Private Limited as a data analytics intern and embark on an exciting journey to enhance your skills in Python, SQL, artificial…
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🚨JOB OPENING
Company – Hypersonix Inc.
Role – Junior Data Scientist
Exp. – 1-2 yrs
Responsibilities -
As a Junior Data Scientist, you will work closely with Engineering/Product/Implementation teams to build state-of-the-art ML-based solutions for B2B SaaS apps. You will leverage not only advanced techniques for predictions, time-series forecasting, NLP, optimization, but also deep understanding of business issues and problems.
Skills –
• Hands-on programming skills and ability to write modular and scalable code in Python. Knowledge of SQL is required
• Familiarity with software development tools such as git, AWS, bash, Airflow
• Bachelor’s degree or Master’s degree in computer science, engineering, operations research or related
Apply Here 👉🏻 https://www.linkedin.com/jobs/view/3894058185
Company – Hypersonix Inc.
Role – Junior Data Scientist
Exp. – 1-2 yrs
Responsibilities -
As a Junior Data Scientist, you will work closely with Engineering/Product/Implementation teams to build state-of-the-art ML-based solutions for B2B SaaS apps. You will leverage not only advanced techniques for predictions, time-series forecasting, NLP, optimization, but also deep understanding of business issues and problems.
Skills –
• Hands-on programming skills and ability to write modular and scalable code in Python. Knowledge of SQL is required
• Familiarity with software development tools such as git, AWS, bash, Airflow
• Bachelor’s degree or Master’s degree in computer science, engineering, operations research or related
Apply Here 👉🏻 https://www.linkedin.com/jobs/view/3894058185
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🚨JOB OPENING
Company – Micron Technology
Role – Data Scientist
Exp. – 2-4 yrs
Responsibilities –
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Skills –
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
Apply Here – https://www.linkedin.com/jobs/view/3897219015
Company – Micron Technology
Role – Data Scientist
Exp. – 2-4 yrs
Responsibilities –
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Skills –
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
Apply Here – https://www.linkedin.com/jobs/view/3897219015
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Company – DueToHQ
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Exp. – Fresher
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Company – Ozibook Tech Solutions Private Limited
Role – Data Analytics Internship
Exp. – Fresher
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Company – Nexpro247
Role – Business Analyst
Exp. – 0-5 yrs
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Company – OneData Software Solutions
Role – Data Engineer
Exp. – 1+ yrs
Apply Here – https://www.linkedin.com/jobs/view/3898316007
Company – Flipkart
Role – Data Scientist II
Exp. – 2-4 yrs
Apply Here – https://www.linkedin.com/jobs/view/3887167526
Company – Adani Group
Role – Data Scientist
Exp. – 2-5 yrs
Apply Here – https://www.naukri.com/job-listings-data-scientist-adani-group-ahmedabad-2-to-5-years-150424001693?src=sortby&sid=17131667491209558_2&xp=11&px=1&nignbevent_src=jobsearchDeskGNB
Company – UpMan Placements
Role – BI Developer / DATA Analyst
Exp. – 2-4 yrs
Apply Here – https://www.naukri.com/job-listings-bi-developer-data-analyst-upman-placements-bengaluru-2-to-4-years-150424001533?src=sortby&sid=17131667491209558_2&xp=13&px=1&nignbevent_src=jobsearchDeskGNB
Company – Karkhana.io
Role – Data Scientist
Exp. – 3+ yrs
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Company – HuQuo
Role – Data Engineer
Exp. – 3-6 yrs
Apply Here – https://www.linkedin.com/jobs/view/3896205300
Role – Business Analytics Internship
Exp. – Fresher
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Company – PapaSiddhi
Role – Machine Learning Development
Exp. – Fresher
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Company – Ozibook Tech Solutions Private Limited
Role – Data Analytics Internship
Exp. – Fresher
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Company – Nexpro247
Role – Business Analyst
Exp. – 0-5 yrs
Apply Here – https://www.naukri.com/job-listings-business-analyst-nexpro247-hyderabad-bengaluru-delhi-ncr-0-to-5-years-140224006398?src=sortby&sid=17131667491209558_2&xp=20&px=1&nignbevent_src=jobsearchDeskGNB
Company – OneData Software Solutions
Role – Data Engineer
Exp. – 1+ yrs
Apply Here – https://www.linkedin.com/jobs/view/3898316007
Company – Flipkart
Role – Data Scientist II
Exp. – 2-4 yrs
Apply Here – https://www.linkedin.com/jobs/view/3887167526
Company – Adani Group
Role – Data Scientist
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Company – UpMan Placements
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Company – Karkhana.io
Role – Data Scientist
Exp. – 3+ yrs
Apply Here – https://www.linkedin.com/jobs/view/3890428706
Company – HuQuo
Role – Data Engineer
Exp. – 3-6 yrs
Apply Here – https://www.linkedin.com/jobs/view/3896205300
Internshala
Business Analytics Work From Home Internship at DueToHQ
Selected intern's day-to-day responsibilities include:
Assist in collecting, organizing, and analyzing data from various sources to identify trends, patterns, and opportunities.
Work closely with cross-functional teams to understand business requirements…
Assist in collecting, organizing, and analyzing data from various sources to identify trends, patterns, and opportunities.
Work closely with cross-functional teams to understand business requirements…
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