Data Science Course Overview


Are you struggling to make a career decision? Do the various tech roles seem daunting and impossible to you? Worry not! KVCH is your haven for IT courses and training programs. One of our most popular and in-demand courses is a data science course. We are an innovative data science training institute. The huge gap between demand and supply for data scientists worldwide has motivated many students to pursue this field.

Data science is as interesting as it sounds. From data collection and analysis to data visualisation and modelling, a data scientist plays with data and finds useful insights. Companies across various industries are on the lookout for skilled data scientists who can help them make data-driven business decisions. The KVCH data science training program is crafted as per industry demands. Why should you get certification for data science?

  • Data scientists are in greater demand globally.
  • Attractive career opportunities
  • Prospects for career growth
  • Personal and professional growth

KVCH offers the best data science courses with placement assistance. KVCH instructors do not just provide theoretical knowledge but also stress the practical aspects of learning. Throughout the data science course, our trainers will also assign tasks and projects that will help students reinforce their learning.

Whether you are a student with some basic computer knowledge or an experienced professional, the KVCH data science master course is crafted to suit everybody’s learning needs. Enrol in our data science course today and start an endless learning journey.

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The basic objectives of our data science certification course are to provide skills and knowledge that are suitable for both beginners and experienced professionals. Let’s take a look at some of the objectives of our data science course for freshers as well as experienced professionals:

  • Imparting the basic knowledge of data science, tools and technologies used in it, and the various algorithms used for machine learning
  • Introduction to data science with Python
  • Introduction to Python libraries, including NumPy, Pandas, Matplotlib, etc.
  • Training in data visualisation tools like Tableau and Power BI
  • Imparting hands-on training with live projects, assignments and tasks
  • Providing career guidance and interview preparation sessions
  • Help students get placed at reputable organisations and start a progressive career

Do you know that after you complete a data science management course, you will become eligible for various job profiles across many industries? Almost all industries require data scientists. As more and more organisations wake up to the power and potential of data analysis, the demand for certified and experienced data scientists is also rising.

Be it a start-up or an established organisation, data scientists are required to handle the large data sets and help the top management make informed decisions. Enrol in our advanced certificate program in data science and give wings to your career. Look at the following industries you can work in after you get your certification for data science:

  • Entertainment
  • Oil and gas
  • Finance
  • Retail
  • Manufacturing
  • Transportation
  • Education
  • Government
  • Ecommerce

So, don’t delay and start your career in your dream industry with one of our best data science certification courses. Be a part of the KVCH learning environment and open your doors to a multitude of opportunities in the data science field.


Before starting on any career path, we generally look at the monetary compensation it will provide. Data science is an emerging field; therefore, there is a huge gap between the demand and supply of data scientists. Organisations, small or big, offer attractive salary packages to certified data scientists. If you have a professional certification in data science, your chances of getting a lucrative salary package increase.

After completing one of our best data science courses, you can apply to different companies in different industries. Following are some of the salary estimates in data science as per some reputable websites:

  • As per Glassdoor, the average salary for a data scientist is ₹13,37,500 per year in India.
  • As per AmbitionBox, the average annual salary of a data scientist is ₹14.5 LPA.
  • As per Indeed.com, the average base salary in India is ₹10,44,700.
  • The average base salary of a data scientist in the US is $124,361.

Choose one of our data science course offline or online, and learn all the necessary skills you need to earn the salary of your dreams. KVCH offers the best online data science courses that have fulfilled the dreams of an uncountable number of students who get handsome salary packages.


Are you wondering what the buzz is all about in data science nowadays? Why is every other person looking for a data science training program and wanting to get a certification for data science? Well, the answer is simple. We are living in the era of the digital revolution. The number of people using smartphones and the internet is growing daily.

Every day, a huge amount of data is generated. This data is stored for further analysis. On the basis of this data, businesses make future plans, launch new products and services, and predict future sales and consumer purchasing trends. There is a huge amount of data that is stored on online servers and databases. This data needs to be cleaned and analysed to help businesses make informed decisions.

Data science employs various statistical and mathematical computations that help in analysing data sets and finding key insights. Further, data science also helps create machine learning algorithms. Enrol in our data science short-term course and you will find out for yourself what makes data science so popular.


Data science is a trend worldwide. So, you don’t have to worry about placement. Our best data science courses with placement assistance will ensure that you get to work at a reputable organisation post-completion of the certification for data science course. As mentioned earlier, you can work in numerous industries after you complete a data science course offline.

Following are some of the big names that are hiring data scientists:

  • Accenture
  • Cisco
  • IBM
  • Microsoft
  • National Informatics Centre
  • QuickHeal Technologies Limited
  • McAfee

Enrol in one of our data science master course and fulfil your dream of working as a data scientist. Our professional certification in data science program will also suit those who are looking for an instant way to start a career.


KVCH is the data science training institute, as it offers a certificate of completion to all its students. And what is more interesting? Our certificate is well-recognised by many companies. The certificate is presented to you once you complete your training and assignments. You can use this certificate to boost your resume and LinkedIn profile. A certificate lets you prove your skills and knowledge in any field.

So, whether you are looking for a data science course for freshers or experienced professionals, KVCH is the name to trust. We have options for data science short-term course as well as long-term courses. Connect with us today and let our counsellors guide you on the best data science certification course that will align with your career goals.

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Data Science Curriculum


  • What is Analytics and Data Science?
  • Overview of Data Science and Analytics
  • Why Analytics is is becoming popular now?
  • Application of Analytics in business
  • Analytics Vs Data warehousing and MIS Reporting
  • Various Terminology in Analytics
  • Various Analytics Methodology
  • How businesses are using the power of Analytics?
  • Various Analytics tools and their usage
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  • Installing Python Anaconda Distribution
  • Python native data types
  • Basic programming concepts
  • Python data science packages overview
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  • Python Objects
  • Math and Comparison Operators
  • Conditional Statement
  • Loops
  • Functions
  • Exception handling
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  • Overview and history of python
  • Python Installation
  • Introduction to python Editors and IDE’S (Canopy, Pycharm, Jupyter, Rodeo etc.)
  • Understand Jupyter notebook and customize settings
  • Concept of Packages/Libraries – Important packages (NumPy, SciPy, Scikit-learn, Pandas, Matplotlib etc.)
  • Installing and loading Packages and Name Spaces
  • Data Types and Data objects/structures (strings, tuples, lists, dictionaries)
  • List and Dictionary Comprehensions
  • Variables and Value Labels – Date and Time Values
  • Basic Operations – Mathematical – String –Date
  • Reading and writing data
  • Simple plotting
  • Control flow and conditional statements
  • Debugging and Code profiling
  • How to create class and modules and how to call them?
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  • What is Numpy?
  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operation
  • Numpy universal function
  • Selecting and retrieving data
  • Data slicing
  • Iterating Numpy Data
  • Shape Manipulation
  • Stacking and Splitting Arrays
  • Copies and Views: no copy, shallow copy, deep copy
  • Indexing: Arrays of indices, Boolean Arrays
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  • Selecting data from Pandas DataFrame
  • Slicing and dicing using Pandas
  • GroupBy/Aggregate
  • Strings with Pandas
  • Cleaning up messy data with Pandas
  • Dropping Entries
  • Selecting Entries
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  • Data Alignment
  • Sorting and Ranking
  • Summary Statistics
  • Missing Values
  • Merging data
  • Concatenation
  • Combining Data Frames
  • Pivot
  • Duplicates
  • Binning
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  • Importing Pandas
  • Pandas overview
  • Object creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data
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  • Applying functions to data
  • Histogramming
  • String methods
  • Merge Data: Concat, Join and Append
  • Grouping and Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data
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  • Anatomy of a MatplotLib Plot
  • Matplotlib basic plots and it’s containers
  • A Matplotlib figure, it’s components and properties
  • Axes and other graphical objects
  • Pylab and Pyplot
  • Data for Matplotlib Plots
  • What is a Subplot?
  • Modifying size of figures
  • Plotting routines with pyplot
  • Customizing your pyplot
  • Deleting an Axes
  • Setting up Plot Title, Axes Labels, Legend, Layout
  • Showing, Saving and Closing your Plot
  • Save a Plot to an image file and pdf file
  • Use cla(), clf() or close
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  • Two areas of statistics in data science
  • Applied statistics in business
  • Descriptive Statistics
  • Inferential Statistics
  • Statistics terms and definitions
  • Type of data
  • Quantitative vs Qualitative data
  • Data measurement scales
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  • Sampling Data, with and without replacement
  • Sampling methods, Random vs Non-Random
  • Measurement on Samples
  • Random sampling methods
  • Simple random, Stratified, Cluster, Systematic sampling
  • Biased vs unbiased sampling
  • Sampling Error
  • Data Collection methods
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  • Measures of Central Tendencies
  • Mean, Median and Mode
  • Data Variability: Range, Quartiles, Standard Deviation
  • Calculating Standard Deviation
  • Z-Score/Standard Score
  • Empirical Rule
  • Calculating Percentiles
  • Outliers
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  • Distribution Introduction
  • Normal Distribution
  • Central Limit Theorem
  • Histogram – Normalization
  • Other Distribution: Poisson, Binominal etc.
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean, Manhattan and Minkowski Distance
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  • Hypothesis Testing
  • Null Hypothesis, P-Value
  • Need for Hypothesis Testing in Business
  • Two tailed, Left tailed and Right tailed test
  • Hypothesis Testing Outcomes: Type 1 & 2 errors
  • Parametric vs Non-Parametric Testing
  • Parametric Tests, T-Tests : One sample, two sample , paired
  • One way ANOVA
  • Importance of Parametric Tests
  • Non Parametric Tests: Chi-Square, Mann-Whitney, Kruskal-Wallis etc
  • Which Test to Choose?
  • Ascerting accuracy of data
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Data Science Features

Instructor-led Live SessionsInstructor-led Live Sessions

KVCH experts with in-depth knowledge create a focused learning environment by presenting learners with real-world industry problems and focusing on solutions.

Live Training SessionsLive Training Sessions

During our certified training, seasoned instructors and industry experts conduct remote sessions to share their extensive knowledge with the learners.

Flexible Curriculum Flexible Curriculum

Professionals can obtain in-depth knowledge of cutting-edge digital marketing training by taking advantage of the availability of specialised certificates.

 Expert Support Expert Support

Through a ticketing system that operates around the clock, our technical support staff is available to answer any questions you may have.

Certification Certification

Upon finishing the course and the assigned tasks, you will be awarded a certificate from KVCH, recognising your accomplishment as a data scientist.

Assignments Assignments

There is a quiz at the end of each lesson that must be completed before the next lesson begins to test your understanding.

What are the benefits of our training program?

  • Live, interactive training by experts.
  • Curriculum that focuses on the learner.
  • Challenge-based, hands-on project work.
  • Testing of Expertise in a Variety of Areas.
  • Opportunities for team building.
  • Cost- saving training.
  • Convenient for your employees.
  • Completely tailor-made curriculum.
  • Post training support and query management.
  • Regular feedbacks to monitor training effectiveness.

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Data Science Certification

Earn your certificate

On successful completion of the training, you are awarded with a Certificate in Data Science. The certificate is recognised by top companies and helps in career growth.

KVCH Data Science Certificate holders work at various companies like (TCS, Accenture, Infosys) etc.

Share your achievement

Once you get your certificate, you can share it on your online profiles like LinkedIn. Sharing your certification with your connections will help you acquire your dream job.

Data Science FAQs

What makes KVCH the best data science training institute?

Many factors have made us an institute with the best data science courses. Our expert trainers, the latest curriculum, experiential learning methods, and placement assistance are some of the factors that have contributed to our popularity.

Do you offer placement assistance along with IT training?

Yes, KVCH offers the best data science courses with placement assistance. Our dedicated placement cell offers continuous assistance to all our students and ensures that they get selected by top organisations.

What are the benefits of your data science management course?

The benefits of our data science course include hands-on practical training, basic to advanced knowledge of data science, placement assistance, and useful insights into the data science industry.

Can I get a guaranteed placement after I complete your advanced certificate program in data science?

Yes. After you complete one of our data science courses, our placement cell will help you prepare for job interviews and connect with recruiters at top organisations. With an attractive resume and ample preparation for cracking interviews, you will be placed in no time.

Will I get a certification for data science course at your institute?

Yes, of course. Once you complete our certification for data science course, you will get a prestigious certificate with your name and the name of the course you completed. The KVCH certificate is a prestigious one and is recognised by many organisations.

How can I contact your institute to enrol in your data science course?

It is very simple to contact us. Simply visit our website and connect with us via email or the phone number mentioned there. Our counsellors will connect with you to discuss your specific requirements.

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What are the benefits of our training program?

Features/Benefits.

  • Live, interactive training by experts.
  • Curriculum that focuses on the learner.
  • Challenge-based, hands-on project work.
  • Testing of Expertise in a Variety of Areas.
  • Opportunities for team building.
  • Cost- saving training.
  • Convenient for your employees.
  • Completely tailor-made curriculum.
  • Post training support and query management.
  • Regular feedbacks to monitor training effectiveness.
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