🚨Job Opening Updates🚨

Role: Analyst
Company: Latent View
Exp: Fresher
Link: https://ai.cloudyml.com/3bS03wX

Role: Data Research Analyst
Company: Adviserlogic Software
Exp: Fresher
Link: https://ai.cloudyml.com/3JUyFL5

Role: Data Scientist
Company: Latent View
Exp: Fresher
Link: https://ai.cloudyml.com/3PpxSTN

Role: Business Analyst
Company: Virinchi Technologies
Exp: Fresher
Link: https://ai.cloudyml.com/3JVFDzr

All the best💙

Date: 15th, August
Company: IKEA
Role: Data Analyst
Topic- Power BI

1. What are the roles & responsibilities of a Power BI developer?

The specific responsibilities that a Power BI Developer performs vary widely based on the industry and the organization for which they work. A Power BI developer should expect to encounter some or all of the roles and responsibilities listed below:

Build Analysis Services reporting models.
Using Power BI desktop, build visual reports, dashboards, and KPI scorecards.
Data analysis skills
In Power BI, use row-level data security and learn about application security layer models.
On the Power BI desktop, run DAX queries.
Use the data set to do advanced level calculations.
Develop custom visuals for Power BI.
Integrate Power BI reports into other applications
Should be well-versed with secondary tools like Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, and others.

2. What is Power BI Desktop?

Power BI Desktop is an open-source application designed and developed by Microsoft. Power BI Desktop will allow users to connect to, transform, and visualize your data with ease. Power BI Desktop lets users build visuals and collections of visuals that can be shared as reports with your colleagues or your clients in your organization.

3. What is Power Pivot?

Power Pivot is an add-on provided by Microsoft for Excel since 2010. Power Pivot was designed to extend the analytical capabilities and services of Microsoft Excel.

4. What is Power Query?

Power Query is a business intelligence tool designed by Microsoft for Excel. Power Query allows you to import data from various data sources and will enable you to clean, transform and reshape your data as per the requirements. Power Query allows you to write your query once and then run it with a simple refresh.

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

Check our latest YouTube video on Aptitude Problems asked in Hexaware Company's Data Science Interview. Link below

👉🏻 https://youtu.be/A34xotPZCi4

——————-

DONT FORGET TO CHECK OUR DATA SCIENCE AND ANALYTICS MEGA COMBO COURSE. IT IS ON FREEDOM DAY SALE.

LINK- https://ai.cloudyml.com/Mega-Combo

OFFER ENDING TONIGHT

Date: 16th August, 2022
Company: IKEA
Role: Data Analyst
Topic- Power BI

1. What are the roles & responsibilities of a Power BI developer?

The specific responsibilities that a Power BI Developer performs vary widely based on the industry and the organization for which they work. A Power BI developer should expect to encounter some or all of the roles and responsibilities listed below:

Build Analysis Services reporting models.
Using Power BI desktop, build visual reports, dashboards, and KPI scorecards.
Data analysis skills
In Power BI, use row-level data security and learn about application security layer models.
On the Power BI desktop, run DAX queries.
Use the data set to do advanced level calculations.
Develop custom visuals for Power BI.
Integrate Power BI reports into other applications
Should be well-versed with secondary tools like Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, and others.

2. What is Power BI Desktop?

Power BI Desktop is an open-source application designed and developed by Microsoft. Power BI Desktop will allow users to connect to, transform, and visualize your data with ease. Power BI Desktop lets users build visuals and collections of visuals that can be shared as reports with your colleagues or your clients in your organization.

3. What is Power Pivot?

Power Pivot is an add-on provided by Microsoft for Excel since 2010. Power Pivot was designed to extend the analytical capabilities and services of Microsoft Excel.

4. What is Power Query?

Power Query is a business intelligence tool designed by Microsoft for Excel. Power Query allows you to import data from various data sources and will enable you to clean, transform and reshape your data as per the requirements. Power Query allows you to write your query once and then run it with a simple refresh.

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

Date: 17th August, 2022
Company name: Fractal Analytics
Role: Data Scientist
Topic : Machine learning, deep learning

1.What is the difference between Deep Learning and Machine Learning?

Deep Learning allows machines to make various business-related decisions using artificial neural networks that simulate the human brain, which is one of the reasons why it needs a vast amount of data for training. Machine Learning gives machines the ability to make business decisions without any external help, using the knowledge gained from past data. Machine Learning systems require relatively small amounts of data to train themselves, and most of the features need to be manually coded and understood in advance.

2.What is Cross-validation in Machine Learning?

Cross-validation allows a system to increase the performance of the given Machine Learning algorithm. This sampling process is done to break the dataset into smaller parts that have the same number of rows, out of which a random part is selected as a test set and the rest of the parts are kept as train sets. Cross-validation consists of the following techniques:
•Holdout method
•K-fold cross-validation
•Stratified k-fold cross-validation
•Leave p-out cross-validation

3.What is Epoch in Machine Learning?

Epoch in Machine Learning is used to indicate the count of passes in a given training dataset where the Machine Learning algorithm has done its job. Generally, when there is a large chunk of data, it is grouped into several batches. All these batches go through the given model, and this process is referred to as iteration. Now, if the batch size comprises the complete training dataset, then the count of iterations is the same as that of epochs.

4. What is Dimensionality Reduction?

In the real world, Machine Learning models are built on top of features and parameters. These features can be multidimensional and large in number. Sometimes, the features may be irrelevant and it becomes a difficult task to visualize them. This is where dimensionality reduction is used to cut down irrelevant and redundant features with the help of principal variables. These principal variables conserve the features, and are a subgroup, of the parent variables.

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

Don't Forget to check our latest SQL Crash Course Video on YouTube

Learn/Revise SQL in 1 Hour. Link given below

👉🏻 https://youtu.be/FFbKCiO6Th4

Date: 18th August, 2022
Company Name: Infosys
Role: Data Analyst
Topic: Tableau, power BI, Excel

1.What is the use of cycle fields in tableau?

Cycle fields help in switching and trying different colour combinations or views in a cyclic order. It will work only if we have a chart that allows more than one measure such as stacked bar chart and we are unable to finalize the visualizations then we can use cycle fields. To use cycle field, click on analysis menu in the toolbar then select cycle fields to take a quick look at an alternative visualization.

2. How to use Power BI in excel?

To use Power BI in Excel, there is an Analyse in Excel option for every report in the Power BI service. To use it, you will need to enable editing and enable content for the report for the first time. So, what this option provides us is that it gives us the underlying data set of our Power BI report. It comes as a data connection in excel. And we get to play with the data in excel. It is up to us how we analyze the same data, either through pivot tables, charts, etc. By default, when the data is extracted in excel for any report- it gives a Pivot table by default.

3. What are sets and groups in Tableau?

Sets and groups are used group data based on some specific conditions. The main difference between these two is that a group can divide the dataset into multiple groups whereas a set can have only two options which is either in or out. A user should choose to apply group or sets based on the requirements.

4. What is the difference between a function and a formula in Excel?

A formula is a user-defined expression that calculates a value. A function is pre-defined built-in operation that can take the specified number of arguments. A user can create formulas that can be complex and can have multiple functions in it. For example, =A1+A2 is a formula and =SUM(A1:A10) is a function.

Watch our latest YouTube video on Clockwise Rotated Matrix Python Problem. Link given below

👉🏻 https://youtu.be/9y11CUc32hQ

Data Science Interview QA (19th August)
Company Name: Splunk
Topic: SQL

1. What is a relationship in SQL and what are they?

Database Relationship is defined as the connection between the tables in a database. There are various data base relationships, and they are as follows:.

One to One Relationship.

One to Many Relationship.

Many to One Relationship.

Self-Referencing Relationship.


2. What is a stored procedure?

Stored Procedure is a function consists of many SQL statements to access the database system. Several SQL statements are consolidated into a stored procedure and execute them whenever and wherever required.

3. What is Auto Increment?

Auto increment keyword allows the user to create a unique number to be generated when a new record is inserted into the table. AUTO INCREMENT keyword can be used in Oracle and IDENTITY keyword can be used in SQL SERVER.
Mostly this keyword can be used whenever PRIMARY KEY is used.

4. Which operator is used in query for pattern matching?

LIKE operator is used for pattern matching, and it can be used as -.
1. % – Matches zero or more characters.
2. _(Underscore) – Matching exactly one character.

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

🚨JOB OPENING ALERT🚨

Role: Data Scientist Jr. & Sr.
Company: Thyssenkrupp
Exp: Fresher
Link: https://ai.cloudyml.com/3Kda84b

Role: Sr. Executive - Fraud Data Analyst
Company: Payu
Exp: Fresher
Link: https://ai.cloudyml.com/3QT9lY9

Role: Data Scientist
Company: Center For Integrative Omics Data Science
Exp: Fresher
Link: https://ai.cloudyml.com/3Pzdz6u

Role: Business Analyst
Company: Genxlead Solutions Pvt Ltd
Exp: Fresher
Link: https://ai.cloudyml.com/3AHzuEp

ALL THE BEST💙

Date: 20th August
Role: Data Analyst
Company – MorningStar
Topic: Python, SQL, PowerBI

1. Is indentation required in python?
Ans: Indentation is necessary for Python. It specifies a block of code. All code within loops, classes, functions, etc is specified within an indented block. It is usually done using four space characters. If your code is not indented necessarily, it will not execute accurately and will throw errors as well.

2. What are Entities and Relationships?
Ans:
Entity: An entity can be a real-world object that can be easily identifiable. For example, in a college database, students, professors, workers, departments, and projects can be referred to as entities.

Relationships: Relations or links between entities that have something to do with each other. For example – The employee’s table in a company’s database can be associated with the salary table in the same database.

3. What are Aggregate and Scalar functions?
Ans: An aggregate function performs operations on a collection of values to return a single scalar value. Aggregate functions are often used with the GROUP BY and HAVING clauses of the SELECT statement. A scalar function returns a single value based on the input value.

4. What are Custom Visuals in Power BI?
Ans: Custom Visuals are like any other visualizations, generated using Power BI. The only difference is that it develops the custom visuals using a custom SDK. The languages like JQuery and JavaScript are used to create custom visuals in Power BI

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

Check SQL Interview Questions asked in JIO.

Video Link - https://youtu.be/a5cNbCtyIR8

Date: 21th August, 2022
Role: ML Engineer
Company Name: VMware
Topic: Deep Learning

1. What is Perceptron? And how does it Work?

If we focus on the structure of a biological neuron, it has dendrites which are used to receive inputs. These inputs are summed in the cell body and using the Axon it is passed on to the next biological neuron. Similarly, a perceptron receives multiple inputs, applies various transformations and functions and provides an output. A Perceptron is a linear model used for binary classification. It models a neuron which has a set of inputs, each of which is given a specific weight. The neuron computes some function on these weighted inputs and gives the output.


2. What are the activation functions?

Activation function translates the inputs into outputs. Activation function decides whether a neuron should be activated or not by calculating the weighted sum and further adding bias with it. The purpose of the activation function is to introduce non-linearity into the output of a neuron.
There can be many Activation functions like:

Linear or Identity
Unit or Binary Step
Sigmoid or Logistic
Tanh
ReLU
Softmax


3. What’s the difference between a feed-forward and a backpropagation neural network?

A Feed-Forward Neural Network is a type of Neural Network architecture where the connections are “fed forward”, i.e. do not form cycles.  The term “Feed-Forward” is also used when you input something at the input layer and it travels from input to hidden and from hidden to the output layer.
Backpropagation is a training algorithm consisting of 2 steps:

Feed-Forward the values.

Calculate the error and propagate it back to the earlier layers.

 
4. What is Dropout?

Dropout is a regularization technique to avoid overfitting thus increasing the generalizing power. Generally, we should use a small dropout value of 20%-50% of neurons with 20% providing a good starting point. 

Make your career in this fastest growing industry without wasting your lakhs of rupees.

Good Technical Skills, Good Projects and a Good Resume can make you ready for the Data Science Interviews and you are getting everything in our course.

Visit our website and Check the course reviews and then Enroll.

Course Link - https://ai.cloudyml.com/Mega-Combo

Date: 22nd August, 2022
Company: Numerator
Role: Data Scientist
Topic: ML, Excel, Statistics

1. What are exploding gradients?

Exploding Gradients is the problematic scenario where large error gradients accumulate to result in very large updates to the weights of neural network models in the training stage. In an extreme case, the value of weights can overflow and result in NaN values. Hence the model becomes unstable and is unable to learn from the training data.


2. What is systematic sampling and cluster sampling ?

Systematic sampling is a type of probability sampling method. The sample members are selected from a larger population with a random starting point but a fixed periodic interval. This interval is known as the sampling interval. The sampling interval is calculated by dividing the population size by the desired sample size.

Cluster sampling involves dividing the sample population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. Analysis is conducted on data from the sampled clusters.


3. What is macro in excel?

Macro refers to an algorithm or a set of actions that help automate a task in Excel by recording and playing back the steps taken to complete that task. Once the steps are stored, you create a Macro, and it can be edited and played back as many times as the user wants.

Macro is great for repetitive tasks and also eliminates errors. For example, suppose an account manager has to share reports regarding the company employees for non-payment of dues. In that case, it can be automated using a Macro and doing minor changes every month, as needed.

4. What does KPI stand for in statistics?

A KPI is a quantifiable measure to evaluate whether the objectives are being met or not.
It is a reliable metric to measure the performance level of an organisation or individual.
An example of a KPI in an organisation such as the expense ratio.

In terms of performance, KPIs are an effective way of measuring whether an organisation or individual is meeting expectations.

————————————————————-

🚨MAKE YOUR CAREER IN DATA SCIENCE AND ANALYTICS WITH CLOUDYML FROM SCRATCH. TRUSTED BY 7500+ HAPPY LEARNERS

This course package, you are getting Python, SQL, Statistics, Machine Learning, Deep Learning, AWS Sagemaker, Model Deployment, Tableau, PowerBi, Amazon QuickSight, Google Data Studio, Excel, Case studies, Interview QnAs PDF, Capstone End-to-End Projects of ML and DL with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!

Course Link👉🏻 https://ai.cloudyml.com/Mega-Combo

Improve your resume and avoid these mistakes.

Watch our latest YouTube Video in which we have covers some important points which will help you to improve your resume.

Video Link - https://youtu.be/sy1Dywsfw4Q