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
-
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 Course Objectives
- Becoming Data Science certified offers a range of benefits which can vary depending on the certification. Generally speaking, it can offer advantages such as increased job opportunities, better salary prospects, greater recognition from employers, and more confidence in data-related tasks. It can also lead to a more in-depth knowledge of analytics principles and practices.
- The exact prerequisites for enrolling in a Data Science Certification Course can vary depending on both the institution offering the course and the level of certification. Generally, they will require a basic understanding of analytic fundamentals, familiarity with mathematics, programming, and databases, and have a good command of written and spoken English.
- Data scientist
- Data engineer
- Data analyst
- Data architect
- Big data developer
- Data administrator
- A data science certification course will usually include hands-on projects, labs, and case studies to give students the technical skills they need to work in the field. Students will learn data management, data analysis, and analytics tools and techniques, as well as acquire knowledge in computer programming, machine learning, data mining, and visualization.
- The key benefits of taking a Data Science Course include gaining a deeper understanding of the fundamentals of data analysis, machine learning, and related technologies; increasing your exposure to new data-related trends; and creating a competitive edge in the job market. All of these can help in achieving professional goals and setting yourself apart from other job seekers.
- In order to succeed in a data science certification course, students need to have experience with programming, such as Python, R, or SQL, as well as familiarity with databases and statistics. Additionally, they should be able to use basic mathematics such as algebra and calculus, have an understanding of machine learning and artificial intelligence, and have the ability to work with large data sets.
- Yes, data science courses can help beginners learn data science from the ground up, starting with basic tools and concepts such as how to create and analyze data sets as well as basic machine learning techniques. Courses may also help students understand more advanced topics such as artificial intelligence, big data analytics, and visualization.
- Yes, data science is in high demand. Data science is becoming increasingly important in industries such as healthcare, finance, and technology, and there is a growing demand for professionals with data science skills. Companies of all sizes are investing in data science initiatives, and opportunities in the field are expected to continue to grow in the future.
- Uncovering hidden patterns, trends, and insights from large amounts of data
- Building accurate predictive models
- Achieving real-time analytics
- Retrieving data quickly and efficiently
- Developing new applications and services using Machine Learning algorithms
- Data science is used for a variety of tasks, including predictive modeling, clustering, machine learning, and much more. It is used to analyze data to uncover patterns, insights, and trends that can be used to make decisions and inform strategic planning. Data science is also used to develop algorithms for things like automated customer segmentation, sentiment analysis, and natural language processing – all of which are essential for modern businesses.
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.

Pranav Srinivas
Software Testing, CapgeminiData Science Course FAQ's
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
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- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
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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.