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 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
- In Data Science certification training, learners will be taught the fundamentals of data science as well as to how they can apply data science techniques to real-world issues. Many starting point to intermediate courses can be taken both online and in person. Apart from that, they could also include case studies, research facilities, and practical tasks.
- However, in general, a data science online training course aims to equip students with the necessary skills and knowledge to work with large datasets, extract insights, and make data-driven decisions. The course typically covers topics such as data preprocessing, data visualisation, statistical modelling, machine learning, and programming languages such as Python and R. The course may also cover specific applications of data science in various industries, such as finance, healthcare, and marketing. The goal is to prepare students for a career as a data scientist, data analyst, or other related roles.
- Programming skills.
- Statistical analysis.
- Machine learning.
- Data visualization.
- Business acumen.
- The demand for data science skills is growing rapidly around the world. Data Science is being used in various industries to solve complex problems and make better decisions based on data-driven insights. As a result, there is a growing need for individuals with strong data science skills.
- Attend workshops or seminars: Check if there are any upcoming data science workshops or seminars, that you can attend.
- Check the prerequisites: Make sure you meet the prerequisites for the data science course you are interested in.
- Enroll in the course: Once you have found a suitable course, enroll in it according to the instructions provided by the institution offering the course.
- Yes, there is a growing need for training in Data Science. As the world becomes increasingly digital and data-driven, organizations across all sectors are recognizing the importance of Data Science to help them make better decisions and gain a competitive edge.
- Online courses: Many online platforms offer data science courses that you can take from anywhere, including Baghdad.
- Local universities: Baghdad has several universities that offer courses in data science, computer science, and related fields.
- Meetups and workshops: Joining local data science groups, attending meetups, and workshops can help you meet other data scientists and learn from their experiences.
- Kaggle competitions: Kaggle is a platform for data science competitions that allows you to practice your skills in real-world problems.
- Personal projects: Practicing data science on your own personal projects can be a great way to gain hands-on experience.
- Artificial Intelligence (AI) and Machine Learning (ML) are expected to continue to be at the forefront of technological advancements.
- The Internet of Things (IoT) is another trend that is expected to drive the industry in future.
- Blockchain technology is also expected to continue to gain traction in future.
- Cloud computing is already a mature technology, but it is expected to continue to grow in future.
- Data analyst.
- Data scientist.
- Business intelligence analyst.
- Machine learning engineer.
- Introduction to Data Science.
- Data Cleaning and Preprocessing.
- Exploratory Data Analysis.
- Statistical Analysis.
- Data Visualization.
- Machine Learning Algorithms.
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
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- 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...
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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.