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 Analytics Course Key Features 100% Money Back Guarantee
-
5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Data Analytics 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
-
Annual SalaryHiring Companies
Data Analytics 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 Analytics 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 Analytics technologies :
Syllabus of Data Analytics Online Course Download syllabus
- Introduction to Data Science
- Introduction to Python
- Data Analysis Pipeline
- What is Data Extraction?
- Types of Data
- Raw and Processed Data
- Data Wrangling
- Overview of the Analytics Techniques, Business Analytics, Business Intelligence
- Introduction
- GUI
- Cell Referencing
- Freeze panes
- Sum function
- Useful functions
- Counting functions
- Summing functionsM
- Averaging functions
- Rounding functions
- Sorting and filtering
- Multi-level sort
- Fetching and comparing data sets
- $ Referencing
- Vlookup and Hlookup
- Match and Index
- What-if-Analysis
- Goal Seek
- Data Table
- Scenario Manager
- Pivot tables
- Dimensions & Measures
- Multi-layer Pivot Table
- Show Values as Grouping
- Charts
- Various Charts
- Pivot Charts
- Combo Charts
- Fundamentals of Math and Probability
- All about Population & Sample
- Discrete Probability Distributions
- Introduction to Statistics, Statistical Thinking
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Linear Algebra
- Data Processing & Exploratory Data Analysis
- Introduction to Machine Learning
- Regression and Classification Models
- Linear Regression Model
- Data Preprocessing
- Encoding the Data
- Logistic Regression Model
- Evaluation Metrics for Classification model
- Core Database Concepts
- Relational Database Concepts
- Data types
- Tables
- SQL Queries
- Select, Insert, Update, Delete
- SQL Views
- Creating and Updating
- Calculated Columns & Measures
- Excel Tables
- Dashboard
- Power BI Components
- Importing Data
- Clean & Transform Data
- Modeling
- Introduction To Hadoop & Big Data
- What is Spark
- Data analysis & Spark RDD programming
- Introduction to Time Series Forecasting
- Introduction to ARIMA Models
- Time series classification of smartphone data to predict user behavior
- Performing Time Series Analysis on Stock Prices
- Time series forecasting of sales data
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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 Analytics Training Objectives
- Data Analytics typically uses the programming languages Python, SQL, R, and Java. Python is used for general purpose programming and data manipulation, SQL is used for querying databases, R is used for statistical analysis and machine learning, and Java is used for developing applications.
- Data Analytics can be quite difficult to use, depending on the user's experience level. It requires a solid understanding of fundamental programming concepts, algorithms, and data structures. It also involves understanding complex datasets and being able to extract meaningful insights from them.
- The amount of money one can earn by working with Data Analytics depends on a variety of factors, such as the size of the company, the job position, the geographical location, etc. Generally, Data Analytics professionals with experience can earn up to six figures in salary. Additionally, some Data Analytics professionals may work on a project-based basis and be paid by the project.
- Data Analytics training is suitable for learners who are comfortable working with numbers, have problem solving skills, and are able to think logically and critically. It is also helpful if the learner is motivated to learn and has a good understanding of statistics and computer programming.
- Students in the Data Analytics program learn the fundamentals of programming languages, data structures and algorithms, and data analysis techniques such as exploratory data analysis, supervised and unsupervised machine learning, and data visualization. They also learn about the different types of data formats and how to use them to extract meaningful insights.
- Data analytics can be useful in many areas, including marketing, finance, operations, customer service, HR, and healthcare. Specifically, data analytics can be used to analyze sales patterns, customer behaviors, financial performance, operational efficiency, employee retention, and healthcare outcomes.
- Businesses use data analytics to gain valuable insights into their data and understand how their operations are performing. With data analytics, businesses can uncover hidden patterns and trends in their data that can help them make more informed decisions and improve performance.
- Yes, data analytics is viewed as a technical competency due to its reliance on data-driven insights and analytics techniques. Data scientists and other professionals must possess technical skills such as computer programming, database management, data mining, and visualization in order to effectively interpret and manipulate data.
- Yes, data analytics does require coding in order to process and analyze the data. Common programming languages used for data analytics include Python, R, and SQL. Familiarity with these languages is essential for those looking to become proficient in data analytics.
- We offer a range of online Data Analytics courses, from introductory courses to advanced courses. Our courses cover topics such as data mining, machine learning, predictive analytics, data engineering, and data visualization. The courses are designed to equip students with the skills and knowledge they need to succeed in data analytics.
Exam & Certification
- Participate and Complete One batch of Data Analytics Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data 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.

Recently Placed Students
Pranav Srinivas
Software Testing, CapgeminiData Analytics Course FAQ's
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- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
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- View the class presentation and recordings that are available for online viewing.
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