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 specialists can gain the expertise required to make decisions based on data for any corporation through the professional-level certification known as the Data Analytics Certification. Using this certification, you can show that you possess the knowledge and abilities essential for analysing data from an assortment of resources, evaluate it, communicate the results, and solve real-world challenges.
- Python: Python is widely used for data analytics due to its rich ecosystem of libraries and frameworks such as Pandas, NumPy, and scikit-learn.
- R: R is a programming language specifically designed for statistical analysis and data visualization, making it popular among Data Analysts and statisticians.
- SQL: SQL is used for data querying and manipulation in databases, which is an essential skill for Data Analytics.
- The difficulty level of Data Analytics depends on factors such as your background, prior experience with programming and statistics, and the complexity of the analysis you're undertaking. Learning the basics of data analytics can be relatively straightforward, but mastering advanced techniques and effectively interpreting data requires time, practice, and a solid understanding of statistical concepts.
- Data Analytics is a high-paying field due to its increasing demand and the value it brings to organizations. Salaries in Data Analytics vary based on factors such as experience, job role, industry, and location. Data analysts, data scientists, and other professionals with strong data analytics skills often command competitive salaries.
- Individuals aspiring to start a career in data analytics or related fields.
- Business professionals seeking to leverage data for decision-making.
- IT professionals interested in data analysis and visualization.
- Statisticians or researchers aiming to enhance their analytical skills.
- Anyone interested in exploring and interpreting data to extract valuable insights.
- Data exploration and visualization techniques.
- Statistical analysis and hypothesis testing.
- Data cleaning and preprocessing.
- Predictive modeling and machine learning algorithms.
- Data mining and pattern recognition.
- Business and marketing.
- Finance and banking.
- Healthcare.
- E-commerce.
- Government and public sector.
- Data Analytics is used to extract meaningful insights from data, drive data-driven decision-making, and solve complex problems. By analyzing data, organizations can uncover patterns, identify trends, make predictions, optimize processes, improve efficiency, and gain a competitive advantage.
- Data Analytics has significant overlaps with IT skills, as it often involves working with data management systems, databases, and programming languages. Proficiency in tools and technologies such as SQL, Python, R, and data visualization tools is common in the field of Data Analytics.
- Yes, Data Analytics is in high demand as organizations increasingly recognize the value of data-driven decision-making. The ability to collect, analyze, and interpret data is crucial for businesses to remain competitive and gain insights into customer behavior, market trends, and operational efficiency. Consequently, the demand for professionals skilled in Data Analytics continues to grow.
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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- 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.