Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Data Science Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Data Science Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
To Self-placed Learning -
Placement Assistance
To Build Your Career
Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Data Science Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Data Science technologies :
Syllabus of Data Science Online Course Download syllabus
- Introduction to Data Science
- Data Science Terminologies
- Classifications of Analytics
- Data Science Project workflow
- Data engineering importance
- Ecosystems of data engineering tools
- Core concepts of data engineering
- Python Data Types, Operators
- Flow Control statements, Functions
- Structured vs Unstructured Data
- Python Numpy package introduction
- Array Data Structures in Numpy
- Array operations and methods
- Python Pandas package introduction
- Visualization Packages (Matplotlib)
- Components Of A Plot, Sub-Plots
- Basic Plots: Line, Bar, Pie, Scatter
- Advanced Python Data Visualizations
- R Installation and Setup
- R STUDIO – R Development
- R language basics and data structures
- R data structures , control statements
- Important statistical concepts used in data science
- Difference between population and sample
- Types of variables
- Measures of central tendency
- Measures of variability
- Coefficient of variance
- Skewness and Kurtosis
- Data visualization
- Missing value analysis
- The correction matrix
- Outlier detection analysis
- Introduction to Azure ML studio
- Data Pipeline and ML modeling with Azure
- MS Excel core Functions
- Pivot Table
- Advanced Functions
- Linear Regression with Excel
- Goal Seek Analysis
- Introduction of cloud
- Difference between GCC, Azure, AWS
- AWS Service ( EC2 and S3 service)
- AWS Service (AMI), AWS Service (RDS)
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Industry Projects
Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
Data Science Training Objectives
- Data Science certification course provides learners with a comprehensive overview of the core elements of data science, including data mining, predictive analytics, statistics, and machine learning. The course covers the theory behind these methods and will also provide hands-on experience in using them for powerful insights and analytics.
- Data Science has been growing in popularity in recent years. It is now widely recognized as a powerful way of understanding the world around us and enabling better decision-making. It is expected that in the near future, data science skills will be essential for businesses to succeed, and having a data science skill set will be an essential component of success in the business world.
- Learners are going to discover how to use an array of data analysis and machine learning methodologies to gain solid conclusions while developing models which are able to utilised in exercise. In addition, it provides the abilities necessary for setting up and maintaining massive databases and is designed to provide professionals with an in-depth understanding of the underlying principles of data science and its real-world uses.
- Yes, Data Science is going to be one of the top trends in the tech industry this year. With the emergence of newer technologies like AI and ML, the scope of Data Science will grow even further. Businesses will realize the potential of Data Science to help them gain competitive advantages and access to valuable insights.
- You can practice your Data Science skills by using online tools such as Kaggle, DataCamp, and Coursera. These platforms offer a wide variety of datasets and tutorials that allow you to explore the methods and techniques used in data science. Furthermore, most of these platforms offer free courses and exercises that can help you hone your skills and practice in a real-world setting.
- Data Science professionals typically take on roles such as Data scientist, Data analyst, Data architect, Data engineer, Machine learning engineer, and Business intelligence analyst. These roles involve using data to understand patterns and trends, enabling informed decision-making for organizations.
- This Data Science online training will provide learners with the skills and knowledge necessary to understand and apply Data Science concepts, including data mining, predictive analytics, statistics, machine learning, and deep learning. Additionally, learners will have the opportunity to gain hands-on experience in using these tools to analyse data, develop models, and gain actionable insights.
- The requirement for the Data Science course is to have a basic understanding of maths and programming. No prior Data Science experience is required, but having some background knowledge in related fields such as statistics or machine learning could be beneficial.
- Data Science is used for solving complex real-world problems with data. From predicting customer behaviour to uncovering process patterns and correlations, Data Science helps organizations to identify patterns, trends, and relationships within data and use them to inform decisions, improve processes, and drive business success. Data Science is now also being used in many industries, such as health, finance, politics, and education, for highly specialized tasks.
- Yes, a career in data science compensates well. A data scientist can make ranging from $90,000 to $164,00 year, with the average compensation being regarding $115,000. One of the highest paying careers in technological advances, its compensation continues to rise as the demand for skilled data scientists rises.
Exam & Certification
- Participate and Complete One batch of Data Science Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

Recently Placed Students
Pranav Srinivas
Software Testing, CapgeminiData Science Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.