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Data Science Online Course Wth Placement Overview


Have you been searching for the best data science courses in India? If yes, then KVCH is your answer. KVCH provides a Data Science Online Course Wth Placement [Updated 2024]. Data science is a very progressive and interesting profession. Are you someone who loves to play with large data sets and calculate insights from them? If yes, then data science is the perfect field for you. Further, you can move into artificial intelligence, deep learning, machine learning, etc.

If you are a complete beginner and donโ€™t know where to start, a data science course online can guide you. The best way to learn the various concepts of data science is through dedicated data science online classes. A data science online course provides you with the resources and skills you need to start a career in data science. There are ample career options once you complete your online training in data science.

Choose KVCH if you want the best data science course. Our course is crafted to help students learn the fundamentals and advanced concepts of data science. With assignments, tasks, and projects, you will learn data science practically. Once you complete your data science online training in India, you will be presented with a certificate.

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Our data science online course is designed to impart the best training to students. Even if you are a working professional with experience in data science, you will benefit from our data science course online. Our online training for data science is meant to provide students with the convenience of learning from anywhere. You can attend our lectures from the comfort of your home. You can attend classes even when you are travelling.

We offer the best data science course in offline mode as well. The objective of our online and offline courses is the same; to provide quality education to our students. Once you complete your data science online classes, youโ€™ll be:

  • Presented with a certificate of completion
  • Eligible to apply for jobs in data science
  • Proficient at data analysis
  • Skilled at Tableau and Power BI
  • Able to manage databases and perform SQL queries
  • Able to use Python for data analysis

Are you worried about career opportunities post-completion of the course? Data science online training is worth every penny that you spend. The financial benefits of taking a data science online course are far greater than the expenditure. You will have plenty of opportunities to grow once you enter the data science world.

There is a great demand for skilled personnel in the data science field. Data science opens the door to other trendy job professions, like AI and ML. Organisations are hiring data scientists who can help them make better decisions. Once you complete your data science online training, you can pursue any of the following careers:

  • Data analyst
  • Database administer
  • Machine learning engineer
  • Data architect
  • Marketing analyst
  • Business intelligence analyst

After you complete your data science online training in India, you can expect to receive attractive and lucrative salaries. Data scientists are compensated fairly for their services. You can expect your salary to increase once you have gained more skills and experience. The entry-level salaries are also pretty lucrative. In India, the entry-level salary is around โ‚น3.5 lacs per year.

As per Glassdoor, the average salary of a data scientist is โ‚น12,00,000 per year in India. The salary also varies as per your skills, location, work experience, and job role. Enrol in our Data Science Online Course Wth Placement [Updated 2024] and earn the salary you always dreamed of.


As the use of digital devices has increased, the amount of data that is generated every day has also risen. Organisations store this data to better understand their customers. The data needs to be cleaned, analysed and visualised to find key insights. Data scientists help organisations analyse large data sets. Organisations can make informed decisions on the basis of this data analysis.

Businesses use data science to get a competitive edge and serve their customers better. Enrol in our best data science courses in India and understand data science better.


You can apply to many reputed companies after you complete your data science course online. The best data science course can be your gateway at top MNCs like Google, Amazon, Apple, Microsoft, Facebook, etc. Data scientists are demanded by almost every industry. You can choose any of the following industries:

  • Telecommunication
  • Retail
  • E-commerce
  • Healthcare
  • Oil and gas
  • Entertainment
  • Finance

KVCH offers the best data science courses in India. Work in your dream industry and company with our online training for data science.


After you complete all the modules of your data science online classes, you will be facilitated with a certificate of completion. The KVCH certificate is well-reputed and recognised by many companies. You can carry this certificate to interviews. This certificate will establish your skills and knowledge in the field of data science.

To earn our prestigious certificate, enrol in our data science online course now. Connect with our counsellors and select the best data science for you.

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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 IDEโ€™S (Canopy, Pycharm, Jupyter, Rodeo etc.)
  • Understand Jupyter notebook and customize settings
  • Concept of Packages/Libraries โ€“ 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 โ€“ Date and Time Values
  • Basic Operations โ€“ Mathematical โ€“ String โ€“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 itโ€™s containers
  • A Matplotlib figure, itโ€™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 โ€“ 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.

Like the Features? Enquire Now

Structure your learning and get a certificate to prove it.


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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

Do you offer offline data science courses?

Along with online courses for data science, we also offer offline classes. If you are able to attend regular offline classes, then you can choose one of our offline data science courses.

What is the price of your data science course and training?

To know the price of our data science online course, please contact our counsellors. They will give a detailed overview of the course.

Are there any prerequisites to joining your institute?

No, there are no prerequisites for joining our data science institute. You can join one of the online courses, whether you are a student, a graduate, or a working professional.

Do you offer placement assistance besides training?

Yes, we provide Data Science Online Course Wth Placement [Updated 2024]. While you are enrolled in the course, you will receive interview preparation classes. Our counsellors will help you connect with recruiters from various industries.

Do you offer training to working professionals as well?

Yes, our data science online courses are designed to assist working professionals in enhancing their knowledge and skills. Whether you are working in the data science field or any other profession, you can learn skills to grow in your career.

How can I join your data science institute?

You can call us to get enrolled in our institute. You can also have a virtual counselling session and get a detailed overview of the courses. You can also visit our institute to join it.

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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.
For queries, feedback & assistance

KVCH Learner Support

(9 AM - 7 PM)