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
Business Analytics Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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Certificate of Training
From Industry Business Analytics Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
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Placement Assistance
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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.
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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)
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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 training courses are designed to help individuals develop the skills necessary to analyze and interpret complex data sets and to extract valuable insights from them. These courses typically cover a range of topics such as statistics, data mining, machine learning, data visualization, and programming languages such as Python and R.
- A Data Science training course aims to provide individuals with the knowledge and skills needed to excel in the field of data science. The course is designed to cover a wide range of topics such as statistical analysis, machine learning, data visualization, and data management.
- Programming skills.
- Statistical skills.
- Machine learning.
- Data visualization.
- Communication skills.
- To take a data science training course, you would need to find a reputable training provider that offers such a course. You can do this by conducting an online search for data science training courses or by asking for recommendations from colleagues or industry experts.
- Yes, there is a need for training in Data Science. With the increasing digitization of businesses and the vast amount of data being generated, the demand for skilled data professionals has risen significantly. There are various industries, such as oil and gas, finance, healthcare, and tourism, that have also witnessed a surge in demand for data professionals.
- Enroll in a Data Science training course.
- Participate in Data Science competitions.
- Join Data Science communities.
- Work on real-world Data Science projects.
- Attend Data Science conferences.
- Research data science training providers.
- Decide on your specific data science goals.
- Choose a course or program.
- Enroll in the course or program.
- Practice and apply what you learn.
- Data scientist.
- Data analyst.
- Data engineer.
- Big data developer.
- Database administrator.
- In general, data science involves a combination of programming, statistics, and domain-specific knowledge, so having some experience or background in these areas may be helpful. However, many data science courses are designed to teach these skills from the ground up, so a willingness to learn and a strong work ethic can also be valuable assets.
- Data Science Bootcamp: This is an intensive training program that covers the fundamentals of data science, including data analytics, data visualization, and machine learning.
- Machine Learning: This course covers the basics of machine learning algorithms, including supervised and unsupervised learning, neural networks, and decision trees.
- Data Visualization: This course teaches students how to use data visualization tools such as Tableau and Power BI to analyze and present data.
- Big Data Analytics: This course covers the basics of big data technologies such as Hadoop, Spark, and NoSQL databases.
Exam & Certification
- Participate and Complete One batch of Business Analytics Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Business Analytics 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, CapgeminiBusiness Analytics Course FAQ's
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- 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...
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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.