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 certification courses typically cover a wide range of topics, including data manipulation, statistical analysis, data visualization, predictive modeling, machine learning, and more. The course content may vary depending on the training provider and the level of the certification program (e.g., beginner, intermediate, advanced)
- Data analysis and visualization.
- Statistical analysis.
- Data mining and machine learning.
- Database management and SQL.
- Data storytelling and communication.
- Industry demand.
- Government initiatives.
- Startup ecosystem.
- Consulting and analytics firms.
- Education and training institutions.
- Hands-on projects.
- Join Data Analytics communities.
- Kaggle competitions.
- Create a portfolio.
- Exam preparation.
- Understanding Data Analytics fundamentals.
- Proficiency in Data Analysis techniques.
- Data manipulation and transformation.
- Statistical analysis and interpretation.
- Real-World applications and case studies.
- The demand for skilled Data Analytics professionals has been consistently rising as organizations recognize the importance of data-driven decision-making. With the exponential growth of data, businesses need professionals who can analyze and interpret the information effectively.
- Research and choose a reputable training institute.
- Consider the training form.
- Enroll in the training program.
- Engage in practical exercises and projects.
- Seek additional resources and practice.
- Prepare for the certification exam.
- Data analyst.
- Data scientist.
- Business analyst.
- Data engineer.
- Market research analyst.
- Generally, to enroll in a Data Analytics certification training program, it can be beneficial to have a strong foundational knowledge of mathematics and statistics. Familiarity with programming languages like Python or R is often advantageous as well, as they are commonly used in data analytics.
- Certified Analytics Professional (CAP).
- Certified Data Analytics Professional (CDAP).
- SAS Certified Data Scientist.
- Tableau Desktop Qualified Associate.
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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- 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.