There is a current increase in demand for courses in data science and data analysis. However, a lot of people are currently unsure about their path of study. While many courses are pertinent to this topic, data science and data analysis is one of the best; it is well worth the investment. A growing number of IT workers are leaving their careers to pursue fascinating careers in data science and related industries every day.

Many students hold the false belief that this course is the only one that prepares them for engineering, although this is untrue. Considering the current circumstances and the demand from students of all backgrounds to enroll in this course. Students studying biology, mathematics, and commerce are one example. Individuals seeking something beyond the realm of IT programming and project management objectives may find the data science business to have a surplus of highly qualified workers.

Three modules are offered in this course:

Courses on statistics and data analysis with Python

Course on data science

In India, Modulation Digital offers the top teachers. This institute allows you to browse our vast e-libraries, access your learning from anywhere, watch lectures and talks that are recorded or live, and participate in discussions on our platform. Use a cutting-edge digital platform to access study materials on low-bond over the internet on your phone, laptop, or desktop. For both kinds, We offered classes on weekdays and weekends. The finest digital counselors in modulation are those who communicate well with one another and never withhold knowledge. It is also a cutting-edge hub for cutting-edge technology.

Businesses, government organizations, and research facilities are using data science technology more often to make decisions that consider the different facets of this vibrant city’s quality of life. The ability of a city to combine modern technology and tradition in a way that benefits its people is what shows Delhi’s historical charm and data-driven future to work together harmoniously.

Develop your fundamental knowledge and use it to address particular issues, receive adaptable training for data-centric research, and create intricate cities that function in a variety of programming contexts.

  • There are data science courses that you can select from. You can visit Laxmi Nagar and speak with a counselor if you have any questions.
  • During class periods
  • hands-on education
  • Technology-assisted education
  • Industry link
  • Mentorship in the industry
  • Case studies
  • Actual studies in business
  • In assignments for class
  • Employment services
  • Placement prospects
  • created a resume, prepared an interview, and improved a profile
  • Online courses1

The course material is quite in-depth, covering every subject in great detail. You can get the greatest knowledge delivery from the trainers because they are highly experienced, with the majority having five years of subject knowledge.

The placement department oversees the completion of the course in which you are placed. It is a distinct department. You can attend a data science demo class for free.

  • Designed specifically for working professionals.
  • 60+ Industry Case Studies and Projects
  • 5 unique specializations
  • Job placement assistance with leading organizations.

Fees Structured Data Science Modulation digital:

Data Analyst= 25000/-

Data Science =50000/-

Time duration of data science course:

6 month (24 weeks)

How many formulas learn in Excel?

Microsoft Excel has hundreds of built-in functions and formulas that cover a wide range of mathematical, statistical, financial, logical, and other purposes. As of my last update, the exact count may vary depending on the version of Excel you’re using, but there are typically over 400 functions available in Excel. These include basic arithmetic functions like SUM and AVERAGE, statistical functions like STDEV and CORREL, financial functions like PV and FV, and many more. Excel also allows users to create custom functions using Visual Basic for Applications (VBA).

Aggregate formulas are 19 types.

Basic Aggregate formulas are 5 types.



Pivot table

 What is Sql?

SQL stands for Structured Query Language and is a computer language that we use to interact with a relational database. SQL is a tool for organizing, managing, and retrieving archived data from a computer database. The original name was given by IBM as Structured English Query Language, abbreviated by the acronym SEQUEL

What is a Model in SQL?

A data Model is a logical structure that helps to organize elements of data and systematically define how they are related to each other according to the business process.

It conceptually describes the design of a database in a detailed manner.


ER Data Model is based on the notion of real-world entities and the relationships between them.

An entity is an easily recognizable living or non-living real-world object.


Student, Customer, Product It is considered a best practice to design an ER diagram before implementing your database.


An ER diagram displays the relationships between entities stored in a database.

 In technical language, we can say an ER diagram shows the logical structure of a database.


• There can be one or more tables in a database

• where all the data is stored

• It consists of rows & columns

• Columns represent attributes of the entity


• Each row in a table is a record

 • Each record represents information about each object, say a person or a product.

What is python?

Python is powerful… and fast; plays well with others; runs everywhere; is friendly & easy to learn; is Open. It is an interpreted language, do not need to be compiled to run. Python is a high-level language, which means a programmer can focus on what to do instead of how to do it.

Writing programs in Python takes less time than in another language.

Python drew inspiration from other programming languages:

What are variables?

Variables are reserved memory that stores data

Unlike languages like C, C++, and  Java, Python has no command for declaring variable

=  operator is used to assign a value to a variable

What is Machine learning?

Machine learning is a subset of artificial intelligence that often uses statistical techniques to give the ability to “learn” with data Arthur Samuel quoted way back in the 1950s:

“Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.”

 “A computer program is said to learn from experience E concerning some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.” — Tom Mitchell,1997.


Training Phase: Training data is used to train the model by pairing the given input with the expected output

Validation and Test Phase: Goodness and properties of the trained model are measured and estimated

Application Phase:  Model is subjected to real-world data for which the results need to be derived