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 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
- A Data Science certification course provides individuals with the knowledge and skills necessary to extract insights from complex data sets and make data-driven decisions. It covers topics such as data manipulation, statistics, machine learning, data visualization, and predictive modeling.
- The scope of Data Science is expected to expand significantly in the future. With the proliferation of data and advancements in technology, there is a growing need for professionals who can extract meaningful insights from data. Data Science has applications in various industries, including finance, healthcare, marketing, e-commerce, and more. As businesses continue to embrace data-driven decision-making, the demand for skilled Data Scientists is likely to increase.
- Data scientist.
- Data analyst.
- Data engineer.
- Machine learning engineer.
- Business analyst.
Data Science training opens up diverse career opportunities. Some common job roles in Data Science include:
- Artificial Intelligence (AI) and Machine Learning (ML): AI and ML technologies will continue to drive automation, personalization, and predictive analytics.
- Big Data Analytics: The ability to analyze and derive insights from large and complex datasets will remain crucial for businesses.
- Internet of Things (IoT): The proliferation of IoT devices will generate vast amounts of data, requiring Data Science techniques for analysis and optimization.
Data Science is at the forefront of technological advancements and is expected to shape the tech industry. Some trends that will likely lead the industry in the future include:
- Work on real-world projects: Engage in projects that involve working with real datasets and applying Data Science techniques.
- Use open-source tools: Utilize popular Data Science tools such as Python, R, and libraries like Pandas, NumPy, and Scikit-learn.
- Access online platforms: Use platforms like Kaggle, DataCamp, or Dataquest, which provide datasets and interactive environments for practicing Data Science.
To practice Data Science, you can:
- Statistical analysis and hypothesis testing.
- Machine learning algorithms and techniques.
- Python or R programming.
- SQL and database management.
- Big data tools and technologies.
The specific skills learned in Data Science online training may vary, but common skills include:
- Data Science courses are necessary for individuals who want to pursue a career in this field. The courses provide foundational knowledge, practical skills, and hands-on experience to work with data, extract insights, and make data-driven decisions. They help individuals understand the core concepts, techniques, and tools used in Data Science and provide a strong foundation for a successful career in the field.
- A combination of the diversity of its subjects and the complexity of the techniques and approaches utilised, data science can be tough for beginners to comprehend. It requires a solid background in programming, statistics, and mathematics. However, if one comes with the required conditions, it is feasible with commitment, practise, and adequate guidance through courses and resources.
- Healthcare: Predictive analytics for disease diagnosis and treatment optimization.
- Finance: Fraud detection, risk assessment, and algorithmic trading.
- E-commerce: Customer segmentation, recommendation systems, and personalized marketing.
- Marketing: Market segmentation, campaign optimization, and customer behavior analysis.
- The salary of a Data Science developer varies based on factors such as experience, skills, job location, and industry. Generally, Data Science professionals are well-compensated due to the high demand for their skills. Salaries can range from entry-level positions around $60,000 per year to senior-level roles that can exceed $150,000 per year, depending on various factors.
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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- 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.