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 Training Objectives
- Data Science certification is a professional credential issued by accredited organizations and universities to recognize individuals who have successfully completed a comprehensive training program in data science. It proves a person's capabilities and skill set in this field.
- Data Science is revolutionizing the way organizations work and decisions are made. It has become a highly sought after profession, with many organizations recognizing the value that a data-driven approach can bring to their businesses. Data Science course provides the skills and knowledge to develop the necessary data-driven strategies, tools, and approaches to perform meaningful, actionable analytics that can inform organizational decisions.
- Data Science courses typically focus on topics such as big data analytics, data mining, data visualization, machine learning and AI, predictive analytics, business intelligence, and more. Data Science programs generally focus on a variety of topics including programming in Python, mathematical foundations of machine learning, and statistics.
- The main goal of a Data Science course is to equip students with the necessary skills and knowledge to be able to use data to create desired business outcomes. This includes understanding how to interpret data, identify trends, generate insights, and ultimately make informed decisions.
- Yes, the Data Science course is good for the future since it is becoming an increasingly popular profession for organizations. Professionals with the necessary skills and knowledge in the field of Data Science are highly sought after and can benefit from the career opportunities it provides.
- The job opportunities available for Data Scientists include roles in the fields of analytics, data engineering, data analysis, data visualisation, and business intelligence. Companies such as Amazon, Google, Microsoft, and IBM, among others, are some of the organizations that are looking for Data Science professionals.
- The objectives for Data Science course are to teach students how to use a variety of data analysis and machine learning techniques to produce robust insights and build actionable models. It also provides the necessary skills to deploy and manage large-scale databases and is designed to equip professionals with a deep understanding of the fundamentals of data science and its applied methods.
- Data Science courses provide students with the appropriate knowledge and skills to be able to leverage data insights for decision-making purposes. With skills in data science, professionals are better able to make more informed decisions that can lead to improved results for their organizations. Besides this, Data Science courses also provide the necessary skills to identify and tackle complex data problems.
- The career growth potential for Data Science professionals is very high as this profession is increasingly becoming sought out across many organizations. With a Data Science diploma, professionals can obtain roles in Data Science, Data Analysis, and Data Visualization that will provide for ample career growth opportunities and job satisfaction.
- The average salary for Data Science professionals is approximately $ 128,500 per year, plus bonuses and benefits. The salaries vary depending on experience level, role, and company, with more experienced professionals typically making a higher salary.
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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- 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.