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
-
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 Certification 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)
Contact Us
+91 909 279 9991
(24/7 Support)
Request for Information
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
- When looking for a Data Science course, it's important to consider factors like the course curriculum, faculty expertise, practical exposure, placement assistance, and fee structure. You can research and compare the various options available and choose the one that suits your requirements.
- Programming languages.
- Data analysis.
- Machine learning.
- Data visualization.
- Communication.
- The scope of Data Science course training is immense as it can open up various career opportunities in different industries such as banking, healthcare, e-commerce, manufacturing, and many more. A Data Science course equips students with the necessary skills and knowledge to gather, analyze, and interpret complex data sets, which can be used to make informed decisions and improve business operations.
- Knowledge of at least one programming language such as Python or R.
- Understanding of basic statistics concepts such as probability, hypothesis testing, and regression analysis.
- Familiarity with linear algebra, calculus, and other mathematical concepts.
- Familiarity with the fundamentals of computer science, particularly databases and algorithms.
- Join a data science training institute.
- Participate in online data science courses.
- Work on data science projects.
- Attend data science events.
- Build a data science portfolio.
- Research data science courses: Look for data science courses offered by different.
- Choose a course: Based on your research, choose a data science course that fits your requirements, budget, and schedule.
- Learn the basics: Before starting the course, it's important to learn the basics of statistics, programming, and data analysis.
- Attend classes and workshops: Attend classes and workshops offered by the institution where you have enrolled for the course.
- Practice: Practice is the key to mastering data science. Try to work on real-world projects, participate in competitions, and contribute to open-source projects.
- Data Analyst.
- Data Scientist.
- Machine Learning Engineer.
- Business Analyst.
- Data Engineer.
- Continued growth of AI and machine learning: The use of AI and machine learning in data science is expected to continue growing this year.
- Increased emphasis on ethics and fairness in data science: With the growing concern over data privacy and security, there will likely be a greater emphasis on ethics and fairness in data science.
- Greater integration of data science with other fields: As data becomes more central to many industries, there will likely be a greater integration of data science with other fields such as healthcare, finance, and marketing.
- Providing an overview of the fundamentals of data science, including statistical analysis, data visualization, and machine learning algorithms.
- Familiarizing students with programming languages commonly used in data science, such as Python or R.
- Teaching students how to collect, clean, and preprocess data from various sources.
- Enabling students to apply data science techniques to real-world problems, such as predicting customer behavior or detecting fraud.
- Introduction to Data Science: This course covers the fundamental concepts of Data Science, including statistics, data analysis, and visualization.
- Data Mining: This course teaches students how to use various techniques to extract valuable information from large datasets.
- Machine Learning: This course focuses on teaching students how to build predictive models using machine learning algorithms.
- Big Data Analytics: This course teaches students how to work with large and complex datasets using tools like Hadoop and Spark.
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.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 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
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- 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.