SQL concepts you must read before going for a data scientist interview

Posted on August 11, 2022March 28, 2024 by Imarticus

SQL concepts you must read before going for a data scientist interview

Data science is one of the most in-demand professions, and everyone has been trying to get a job in this field. But before you go for the interview, it’s always good to have an idea about the concept and things related to data science. So here, we will discuss some data science interview questions.

What is the difference between MySQL and SQL?

SQL, or Structured Query Language, is used to create and manipulate databases. It can be considered a programming language that allows you to write queries and get results from them.

MySQL is an open-source database management system. It’s an RDBMS (Relational Database Management System), which stores data in tables rather than files or memory buffers like other DBMSs do.

What is a Database Management System (DBMS)?

A database management system is a program that allows you to store, organize and retrieve data on a computer. It’s a collection of programs that manages the database.

Explain SQL.

SQL is a database management language. It creates, modifies, and queries databases. It is a declarative language that allows you to create and manipulate tables in your database using commands like CREATE, INSERT, and UPDATE.

What is an Index?

It is a data structure that makes finding information faster. The index stores the same information as the original table but can be searched much faster because of its optimized system.

What is a Foreign Key? Demonstrate How to Implement it

It is a set of columns that refer to a primary key in another table. It enforces referential integrity and ensures that data from the parent table is related to the child table.

Assume you have a database with one customer row per person and their orders (a list of products bought by each customer). You want to add some additional information about each order, such as when it gets placed, how much it costs, etc., which means you need another table called “Orders” with four fields – date_of_order (date), product_name(product), quantity(quantity) and price($).

What is the Difference Between DML and DDL?

Data Definition Language (DDL) is a programming language that enables users to define database data structures. It also allows you to create new tables or insert data into existing ones.

Data Manipulation Language (DML) is another programming language used by database administrators and developers who work on relational databases like Oracle or MySQL, which store information in tables with columns and rows.

The difference lies in how they work together. While DBAs use DMLs for manipulating your database’s contents using SQL statements, developers use DDLs for creating/updating them using SQL statements too!

Discover a career in data science with Imarticus Learning

This data science course with job placement will teach students data science in a practical setting. Students will create complex models that will generate critical business forecasts and insights.

Course Benefits for Students:

Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies.
To get a data analyst certification course, students must complete 25 real-world projects and case studies led by business partners.
The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Data analytics courses: 7 skills everyone needs to know

Posted on May 17, 2022March 29, 2024 by Imarticus

Data analytics courses: 7 skills everyone needs to know

Today, it is not an exaggeration to say that the world runs on data. The world creates 2,500,000,000,000,000,000 bytes (two and a half quintillion bytes) of data every day! Data analytics has become the jargon of the modern business, and talented data analysts are needed now more than ever before. As a result, more and more students are opting for a Data Analytics course as it stands for a lucrative job offer.

A Data Analytics Certification helps individuals to disrupt, innovate and drive their organizations’ strategies in a better manner today.

There are a variety of Tableau Course and Data Analytics Courses online as job openings call from every industry of the market, from manufacturing and supply chain to banking, healthcare, and retail.

Here are the 7 skills that everyone needs to know if they plan to pursue Data Analytics Certification Courses to become an in-demand data professional:

Machine Learning

Machine learning has become the most important arm and leg of Data Science. As an extension of Artificial Intelligence (AI), it helps one in finding patterns in big data sets and build on algorithms to improve accuracy over time. Having a general understanding of machine learning-related tools and concepts will give you an edge over competitors. Some of the courses available on the Imarticus platform are Postgraduate Program In Data Analytics And Machine Learning And Certification In Artificial Intelligence And Machine Learning.

Structured Query Language (SQL)

To communicate with the databases, one needs to know the Structured Query Language (SQL). It allows the data analyst to modify data structures, and organize and update data. By exploring data, one learns how to analyze data as well in time. SQL has a good hold in companies everywhere because of its functionality and maintained effectiveness. Hence, it is considered one of the most important skills needed to land a data analyst job.

Data Visualization

A course in Data Analytics should equip an individual to gather insights and string the information together in a story format so that business owners can make better decisions. One can build data models and create business intelligence reports and use visual representations in a better way. The ability to visualize data empowers a data analyst to gain a better understanding of a company’s situation, deliver useful insights, and make better company decisions.

R or Python – Statistical Planning

Being able to write programs in R or Python can help one visualize as well as analyze data sets better. Although R is regarded better for analytics, Python is considered easier to learn of the two. Both languages fascinate businesses because they can handle complex or large quantities of data. Learning a language goes a long way in building a program that will collect, collate and analyze data.

Modern Statistical Thinking

Collecting, analyzing. and representing data are all parts of statistics. A strong foundation in probability and statistics is an important data analyst skill. Honing skills to develop modern statistical thinking will help an individual identify trends and patterns, avoid biases, fallacies, and logical errors in the analysis and produce accurate and trustworthy results.

Data Management

Managing data is of utmost importance, be it in any vertical of industry, as it interacts with different stakeholders over time. Storing data and information in such a way that it is cost-friendly and secure, helps data analysts to develop another skill set altogether. One can dive deep into how data works in the cloud and physical environments.

Presentation skills

For data to make sense, data analysts must perfect their presentation skills. Data visualization and presentation skills go hand-in-hand. After all, based on historical data, analysts can forecast future trends. Gain the job-ready skills for an entry-level data analyst role so that one can leverage technical skills to build a great career in the field of data analytics.

Things to Take Away!

Putting in time and effort and enrolling at a great center can help one to achieve great heights and propel one to succeed. To explore data analytics courses that can help one pursue a lucrative career in this field and assist in upskilling as well, join us now! Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.

Top resources to learn python online in 2022

Posted on April 2, 2022March 28, 2024 by Imarticus

Python is currently the most demanding and one of the fastest-growing programming languages in the world. This is due to its versatility and numerous usages. Apart from it, Python is also user-friendly, and open-source and for beginners, who want to get into coding and data science, it is an excellent starting point.

Also, Python for data science, web development, and application development is in vogue, and its demand is not going to extinct soon. So, learning Python can provide plenty of employment opportunities in data science, machine learning, and artificial intelligence.

Top Resources to Learn Python Online

Individuals interested in learning about Python can easily do it online as a lot of resources are available on the internet. Although choosing the right way might be challenging for someone new to this field, a few of the best ways to get started are provided below –

Online Courses

One of the best ways to get python training online is to look for reliable online courses. However, make sure to opt for courses that give placement assistance and provide an explicit curriculum aligned with industry requirements. Individuals can also look up a self-paced course so that they can learn at their speed. Most importantly, check the curriculum and note if it meets the demands of the industry, such as Python, Data Analytics, and SQL. A PG Diploma in Data Analytics and Machine Learning usually covers all these topics and also provides a certification that acts as validation and can be produced for job opportunities.

Data Analytics Bootcamps

Getting enrolled for a Bootcamp in data analytics focusing on Python is a great option to get started in this field. Also, acquiring a data analytics skillset with a focus on Python is an excellent resource as most industry demands an array of skills. This will allow students to work with complex data, and as Python is one of the fastest-growing languages, they can apply for a legion of jobs.

For instance, with data analytics and Python skills, individuals can apply for job roles such as business analysts, data scientists, and software developers. Apart from it, they can also learn machine learning with Python, which will likely open up a more comprehensive array of opportunities.

Independent Learning

Lastly, individuals can opt for independent learning also from multiple platforms. There are also free resources available, and they can provide ample knowledge for those who want to learn. But, one of the primary disadvantages of these courses includes the lack of certification, and if they give a certificate, then they might not ensure job assistance.

Hence, to get python training online, it is better to opt for a course with certification validity. However, students must remember that these free resources can be a goldmine for those who want to expand their knowledge and whose sole purpose is to learn about data science.

Apart from these, if individuals are still sceptical about learning Python, then they must understand the reasons for learning Python.

Reasons to Learn Python

Although individuals can learn machine learning along with Python and data science, the reasons to learn it are varied. The top reasons to know Python is –

Python is easy to learn, read and write.
It is required for high-demand jobs.
Python is highly flexible and has myriad use.
It also has a large supportive community.

Hence, individuals can learn Python for machine learning and data science to get a multifaceted approach. This will ensure varied skills and open up new job opportunities for them. Also, while choosing the path to learn, keep the goals lucid to clear the way. But, to get a job opportunity, students can opt for a course with certification that validates the course and knowledge.

Mining and Visualizing Data: Important Skill required in Data Analytics

Posted on September 4, 2021March 21, 2024 by Imarticus

Data analytics is one of the fastest-growing fields in today’s business landscape. Data analysts across industries are being tasked with data mining and visualization for different purposes like data interpretation, data analysis, etc.

As a result of this, there’s a high demand for professionals with the data analytical skillset. There are data analytics courses that teach you data mining and data visualization.

These skills are indispensable in the data analytics landscape. If you want to be successful, it is absolutely necessary to learn this skill set.

In this blog post, we will talk about the important skills required for data mining & visualization and how to find a good data analytics course that offers them!

Key skills required for data mining and data visualizing

As a data analytics specialists, important skills you must have to apply for data mining & data visualizing jobs are:

Data Mining: Evaluating data to determine what kind of information it has and how a particular data can be used for various purposes (i.e., analysis). To analyze the data that you want to extract from a database or spreadsheet, tools like SQL queries help find specific patterns within large sets of data. You need to know about the kinds of algorithms available such as linear regression for analyzing relationships between variables recorded over time or clustering techniques applied when investigating groupings in your data set.

Data Visualization: Achieving insights into complex datasets with accurate representation through graphs, charts, etc. This includes designing insightful visualizations without sacrificing data accuracy. For this, you must have knowledge of data visualization techniques like data smoothing to make data trends more visible or data clustering for creating informative thematic maps.

Data Analytics: The application of statistical analysis to data in order to reveal patterns and trends that can be used for decision making, modeling future data, etc. For this, you need knowledge about the various analytical techniques like linear regression or time series forecasting, which are then applied to data sets in order to make predictions with mathematical models.

Understanding these important skills will help you think critically and understand how data analytics is done!

How to find a good data analytics course?

– The course should teach data mining, visualization, and advanced SQL skills.

– It should also have a good rating and be well-reviewed by existing students.

– A course with thorough programming exercises is preferable to one that just offers lectures or videos.

– The institution needs to provide a certificate of completion for the student in order for them to become certified data analysts, as many institutes are providing the courses without any certification.

If you are looking for a data analytics course that has all the above-mentioned features, then Imarticus Learning is for you!

A Rewarding Data Analysts Career with Imarticus!

Knowing the need for new-age careers & the potential of online education, Imarticus offers certification courses in data analytics for beginners and advanced levels.

If you want to further your career in data mining & to visualize data, and have a leg up over other applicants, getting a certification in data analytics is your best option. An advanced degree with various specializations at Imarticus will add credibility to your profile and position you as an efficient professional.

For any further details, contact us through the Live Chat Support system or visit any of our training centers in Mumbai, Thane, Pune, Bengaluru, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Tag: best data analytics certification courses in India