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
- Data Science certification is a credential that validates your knowledge and skills in data science, a multidisciplinary field that involves extracting insights and knowledge from data. It demonstrates your proficiency in handling and analyzing data, as well as applying machine learning and statistical techniques to solve complex problems.
- it is a rapidly growing field with high demand for skilled professionals. Data-driven decision making is becoming increasingly important for businesses across industries, and there is a need for professionals who can analyze large amounts of data and extract valuable insights.
- A career in data science offers attractive salary prospects and opportunities for growth.
Learning Data Science can be beneficial for several reasons.
- In a Data Science course, you will learn various aspects of data science, including data manipulation and preprocessing, statistical analysis, machine learning algorithms, data visualization, and data storytelling. You will gain hands-on experience in working with popular programming languages like Python or R and using data science libraries and tools.
- Developing proficiency in data analysis and manipulation.
- Acquiring knowledge of machine learning algorithms and their applications.
- Understanding statistical concepts and techniques.
- Gaining practical experience in working with real-world datasets and solving data-driven problems.
- Building a strong foundation in data science principles and methodologies.
The goals of a Data Science course typically include:
- Yes, learning Data Science is excellent for the future. The demand for data scientists and data-driven professionals is expected to grow significantly as organizations increasingly rely on data for making informed decisions. With the rise of big data and advancements in technology, data science will continue to be a crucial field with promising career prospects.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Business analyst.
- Data architect.
Completing a Data Science course can open up a wide range of career opportunities, including:
- To learn Data Science, having a strong foundation in mathematics and statistics is beneficial. Knowledge of programming languages such as Python or R is essential, as these languages are commonly used in data science. Familiarity with concepts like linear algebra, probability, and statistics will help in understanding the underlying principles of data science techniques.
- High demand for data scientists and data-driven professionals.
- Competitive salaries and attractive job prospects.
- Possibility of working in diverse industries and domains.
- Contributing to advancements in technology, business, and society.
Some advantages of learning Data Science include:
- Yes, the Data Science course is remarkable due to its relevance and significance in today's data-driven world. Data science has transformed industries and has the potential to drive innovation and solve complex problems. By acquiring data science skills, you can contribute to groundbreaking research, develop innovative solutions, and make a meaningful impact in various domains.
- In general, Data Science professionals receive attractive salaries due to the high demand and shortage of skilled talent. Entry-level data scientists can expect salaries ranging from 6 to 10 lakhs per annum. As professionals gain experience and expertise, their salaries can increase significantly, with experienced data scientists earning more than 15 lakhs per annum or even higher in some cases.
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.