Data Science Online Course USA Overview


Do you know that, as per Glassdoor, data science is the 3rd best job in the United States?

The demand for data scientists is still growing. The US Bureau of Labor Statistics estimated that the employment rate for data scientists will grow by 36% from 2021 to 2031. This is huge. The rising demand for data scientists is not being met accordingly. As a result, an increasing number of people are signing up for data science certificate programs that will help them acquire the necessary skill set. To offer freshers and experienced professionals the best skills and knowledge in data science, KVCH has crafted a data science online course specifically for the American audience.

Our data science course trainers and instructors thoroughly understood the skills that are demanded in the US tech landscape and created a course curriculum accordingly. Our data science online classes are highly customizable. Whether you are a student or a working professional, our data science classes can be scheduled to fit your routine. You would never get bored learning from our instructors. The experiential learning methods and live projects will impart the necessary practical skills you need to navigate the ever-changing technological landscape.

KVCH, a data science training institute, is here to help learners from all walks of life acquire skills for a highly progressive career. Connect with us and choose one of our online data science programs. If you are confused as to which data science certificate programs you should go for, then our expert counselors are here to help you. Connect with us over a call or a quick chat and let us help you choose the data science certification course that will align with your career goals.

PS: We offer data science training and placement too!

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The objective of our data science course online mode is to offer the best quality of education at the convenience of the learners. Our courses are crafted in a way that offers complete knowledge of data science to learners, from basic to advanced. Let’s look at some more objectives of our data science online classes:

  • Understanding the data science lifecycle, from data collection and cleaning to analysis, modeling, and presentation
  • Developing programming skills such as Python, R, or SQL
  • Grasping statistical concepts like descriptive statistics, hypothesis testing, and regression analysis
  • Acquiring knowledge of data visualization software such as Tableau and Power BI
  • Implementing machine learning algorithms like linear regression, decision trees, and neural networks
  • Working with big data tools and technologies like Hadoop and Spark for handling big data
  • Learning to communicate complex findings effectively to both technical and non-technical audiences is essential
  • Develop problem-solving and critical thinking through various tasks and assessments

Do you know that a career in data science is highly progressive? As you work on different projects and gain more experience, you can climb up the ladder of professional growth. In no time, you can go for managerial posts. You will also see substantial growth in your salary. Get our data science certificate online in the USA and start on a highly progressive and rewarding career journey.

Take a look at the following professions you can pursue after you complete online data science programs:

  • Data scientist
  • Data analyst
  • Data architect
  • Data engineer
  • Machine learning engineer
  • Statistician
  • Data manager
  • Database administrator
  • Business intelligence manager

Do you know that data scientists earn some of the highest salaries in the IT sector? Even with no experience, you can earn lucrative salaries. To earn an attractive salary package, enroll in our data science certificate online course and earn the salary of your dreams.

  • According to the U.S. Bureau of Labor Statistics (BLS), the average annual salary for data scientists is $103,500.
  • As per Glassdoor, the average salary for a data scientist is $129278 per year in the US.
  • According to Indeed, the average salary for a data scientist is $124361 per year in the United States.

Please note that these are not absolute measures. These salaries are estimated based on reported salaries. The actual salaries can vary as per location, job profile, skills, industry, and experience.


Data science is a very popular and sought-after profession. As more and more data is generated every day, businesses and organizations are looking for skilled professionals who can handle large datasets and help them make informed decisions. Following are some of the reasons for the popularity of data science:

Huge volume of Data: Massive amounts of data are being generated, creating opportunities for valuable insights.

Business transformation: Data science drives data-driven decision-making for business optimization and growth.

Technological advancements: Improved tools and computing power make data analysis easier and more accessible.

Versatility: Data science has wide-ranging applications across diverse industries.

Career opportunities: High demand for data scientists leads to attractive salaries and career growth.

Continuous learning: The field constantly evolves, keeping it engaging and challenging.


After you complete one of our data science certificate programs, you will become eligible to apply to different industries. Data scientists are in demand across many industries. Some of them are mentioned below:

  • Finance
  • Healthcare
  • Data scientists
  • Data analysts
  • Entertainment
  • Business intelligence
  • Manufacturing
  • Government
  • Education
  • Transportation

Our online data science programs will impart you all the skills that will make you eligible to work in the diverse industries of the US.


Once you complete the data science training and placement course at KVCH, you will be given a prestigious certificate. This certificate will act as proof of your skills and knowledge in data science. The certificate will bear your name. If you are a fresher, you can use this certificate to get entry-level jobs in data science. You can add this certificate to your resume or LinkedIn profile to enhance it and make you stand out from others.

Get in touch with KVCH, a data science training institute, and begin your data science journey. Get a progressive job in this futuristic profile and dive deep into a world of innovations and data-driven solutions.

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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

Is data science in demand in the USA?

Yes, data science is highly in demand across the USA. According to the US Bureau of Labor Statistics, data scientist jobs are predicted to experience 36 percent growth between 2021 and 2031.

How can I get enrolled in your data science classes?

If you are interested in one of our data science certificate programs, kindly contact us via phone or email. Our counselors will brief you about our data science courses, fees, duration, and placement process.

What is the duration of your data science course online?

The duration of our data science courses varies as per the requirements of students. We provide both long-term and short-term courses.

Are your online data science programs customizable?

Yes, our online data science courses are customizable. Whether you are a student or a working professional, we can craft a program that fits your schedule.

What is the cost of your data science certification course?

The cost of our programs can vary as per individual requirements. That is why there is no fixed cost. If you want to learn more about our fee structure, kindly contact us now.

What is the career scope in data science?

The career scope in data science is huge. Your career and income will soar once you acquire the required training and experience.

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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

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