DATA ANALYTICS CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN BHUBANESWAR

Live Virtual

Instructor Led Live Online

110,000
62,423

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

55,000
35,773

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

110,000
67,548

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

UPCOMING DATA ANALYTICS ONLINE CLASSES IN BHUBANESWAR

BEST DATA ANALYTICS CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

images not display images not display

WHY DATAMITES INSTITUTE FOR DATA ANALYTICS COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYTICS CERTIFICATION IN BHUBANESWAR

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
Modeling, Evaluation, Deploying,Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to Statistics
  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's Minimum Sample Size
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction,
• Performing Comparison Analysis on Data
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Hands-on case study : Comparison Analysis
• Hands-on case study Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• Hands-on: Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join, Outer Join
• Left join, Right Join
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

OFFERED DATA ANALYTICS COURSES IN BHUBANESWAR

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN BHUBANESWAR

DataMites is one of the top academic institutions in the world because of its solid market position and training of over 50,000 students over the past five years. Those who are eager to build a solid foundation in the data-driven industry and data analytics beginners and seasoned professionals should enrol in the Bhubaneswar Data Analytics course in Bhubaneswar, which employs a hands-on learning methodology. 

We provide a Data Analytics course in Bhubaneswar with placement in order to primarily equip people for professions in the field. Following the conclusion of their projects and internships, students have more than enough experience to be considered for a job offer with a six-month duration. In Bhubaneswar, the cost of the data analytics course is 42,000 INR. 

The three comprehensive steps that comprise our learning process are as follows:

Phase 1 refers to the time before the training begins and is the initial stage of data analytics training. Study guides and other materials are made accessible for solitary study during this period, and they are distributed.

Phase 2 of the curriculum is where the data analytics online training and capstone projects for upcoming on-the-job training begin. IABAC Data Analytics Certification is also awarded!

Phase 3 distinguishes itself and ensures that the candidates have a thorough comprehension of the subject matter through projects, internships, and the Job Ready Program for the applicants!

Data production has reached 2.5 quintillion bytes per day and is still growing. Data analysts are at the forefront of this transition, which is inevitable as the volume and complexity of data collected by corporations increases. The cost of our certified data analyst course in Bhubaneswar is 55,000 INR, however, right now it's only 44,900 INR. It has IABAC and JainX certifications.

Bhubaneswar is a popular location for many IT & ITES organisations because it already has several big companies operating there. The state of the IT sector in Bhubaneswar finally appears to be improving. Bhubaneswar has indeed become a prominent location for the IT world and has given birth to booming industries in the field of Data Analytics and Data Science. The data analyst in Bhubaneswar earns an average amount of 5,10,463 LPA! (Glassdoor)

Along with the data analytics courses, DataMites also provides Python training, data engineer, machine learning, deep learning, tableau, artificial intelligence, r programming, and data science courses in Bhubaneswar.

Join Data Analytics Training in Bhubaneswar. Seize the opportunity!

ABOUT DATA ANALYTICS COURSE IN BHUBANESWAR

The study of examining unprocessed data to draw inferences about such information is known as data analytics. Many data analytics methods and procedures have been mechanised into mechanical procedures and algorithms that operate on raw data for human consumption.

Both business analysts and data analysts contribute to their firms' use of data-driven decision-making. Business analysts typically spend more time addressing business issues and making recommendations, whereas data analysts typically spend more time working directly with the data itself. Both positions are in high demand and are frequently handsomely paid.

Modern businesses often analyse their data. Since no solution can meet all needs, selecting the best data analytics tool can be difficult. Excel, Advanced Excel, Tableau, SQL, Power BI, Basics of R, and Python are just a few of the vital tools used for data analytics.

Anyone who is willing to learn data analytics, whether they are a novice or a seasoned professional, is the simple answer. Engineers, IT workers, software developers, and marketers can all register for the DataMites Data Analytics Course in Bhubaneswar.

Some of the most sought-after specialists worldwide are skilled data analysts. Data analysts command high salaries and top benefits, even at the entry level, due to the high demand for their services and the scarcity of qualified candidates.

Your initial position may be as a junior analyst if you're new to the profession of data analysis. You might be able to land a job as a data analyst if you have some prior experience with transferrable analytical skills.

  • Data Analyst Consultant

  • Data Scientist

  • Data Engineer

  • Quantitative Analyst

  • Operations Analyst

  • Marketing Analyst

  • Project Manager

  • Business Intelligence Analyst

  • Data Analyst

  • IT Systems Analyst

While a degree isn't necessarily necessary for a data analyst position, getting the necessary certification from a reputable organisation is essential. The skills required for success in data analytics can be learned in anywhere between six weeks and two years. DataMites 6 months of data analytics courses can be a great method to master data analytics and become well-versed in it. The vast variation is explained by the fact that there are numerous unique job pathways in data analytics.

 

Without intensive training and work, the benefits of a job in data analytics won't materialise. Data analysts need a specific set of abilities in order to succeed in their line of work, and their technical backgrounds are important, but they also need a few soft abilities.

  • Information Display

  • Clearing Data

  • SQL, MATLAB, R, Python, and NoSQL Machine Learning

  • Calculus as well as linear algebra

  • Excel for Windows: Communication, Critical Thinking

  • The national average salary for a Data Analyst is USD 69,517 per year in the United States. (Glassdoor)

  • The national average salary for a Data Analyst is £36,535 per annum in the UK.  (Glassdoor)

  • The national average salary for a Data Analyst is INR 6,00,000 per year in India. (Glassdoor)

  • The national average salary for a Data Analyst is C$58,843 per year in Canada. (Payscale)

  • The national average salary for a Data Analyst is AUD 85,000 per year in Australia. (Glassdoor)

  • The national average salary for a Data Analyst is 46,328 EUR per annum in Germany. (Payscale)

  • The national average salary for a Data Analyst is CHF 95,626 per year in Switzerland. (Glassdoor)

  • The national average salary for a Data Analyst is AED 106,940 per year in UAE. (Payscale)

  • The national average salary for a Data Analyst is SAR 95,960 per year in Saudi Arabia. (Payscale.com)

  • The national average salary for a Data Analyst is ZAR 286,090 per year in South Africa. (Payscale.com)

One of the professions with the highest demand worldwide is skilled data analysis. Data analysts command enormous incomes and top-notch benefits, even at the entry-level, because there is such a high demand for their services and a dearth of qualified candidates data analyst in Bhubaneswar earns an average amount of 5,10,463 LPA! (Glassdoor)

The ideal institute for you, if you want to pursue a career in analytics, is DataMites. The primary mentors are knowledgeable professionals who are industry-oriented, and the course curriculum is well-planned. We provide projects and internship possibilities for the practical experience! The finest educational setting for you, if you want to work in the analytics sector, is DataMites. The primary mentors are knowledgeable and dedicated to the profession, and the course material is well-developed. Projects and internship possibilities are available for professional skills!

The Certified Data Analyst Course, which validates your ability to confidently evaluate data using a variety of technologies, is the highest accreditation in data analytics. The ability to handle data, perform exploratory research, understand the fundamentals of analytics, and visualise, present, and elaborate on your results are all skills that are demonstrated by certification. The respected Jain University and IABAC also accept the DataMites Certified Data Analyst Course in Bhubaneswar.

Your greatest option in the field is the DataMites certified data analyst course in Bhubaneswar. Our data analytics course provides you with tangible proof that you are qualified to help companies, including well-known multinationals, interpret the data at hand. It is evidence that you are qualified to carry out the responsibilities of a particular employment role in accordance with industry standards, as opposed to a data analytics certificate.

The comprehensive planning and organisation of the DataMites Data Analytics Training takes into account the fact that beginners to the area are given a thorough explanation of the entire topic. Having said that, if mastering analytics appeals to you, you can sign up without a second thought.

A data analytics profession that is pretty robust. Simply put, there has never been a better time to be a data professional. A whopping 2.5 quintillion bytes of data are created every day. The price will vary depending on the degree of instruction you want. Training in data analytics could cost anything from 30,000 to 100,000 Indian rupees.

View more

FAQ’S OF DATA ANALYTICS TRAINING IN BHUBANESWAR

Data analytics classroom training in Bhubaneswar helps to teach useful skills and knowledge and provides valid scope for greater and fluent understanding of the subject matter with a stronger emphasis placed upon cohesiveness, teamwork, and social interaction.

Both seniors and rookies are welcome to enrol in the course. To transition from an IT to a business profile, being a data analyst is the ideal professional move for you to do. If you have strong coding and IT skills, you'll be in a good position to flourish in this industry. Individuals in the human resources, banking, marketing, and sales industries, as well as those who work outside of information technology, are welcome to enrol in DataMites Training.

  • The International Association of Business Analytics Certifications has granted DataMitesTM its accreditation as a global institute for data science (IABAC).

  • roughly 50,000 candidates were trained

  • The three-phase learning process was painstakingly created to deliver the greatest instruction possible.

  • Participate in practical projects and really useful case studies.

  • Obtain the worldwide IABAC and JainX Data Analytics Certification.

  • Help with internships and employment

The cost of Data Analytics Training in Bhubaneswar at DataMites will be around 42,000 INR.

With the proper data analytics training and the required level of experience on your part, a data analyst's potential is virtually limitless. At DataMites, you can take data analytics courses for six months.

The Certified Data Analyst curriculum, one of DataMites' top data analytics programmes, has been recognised by the prestigious organisations IABAC and JainX, whose credentials you would obtain upon successful completion of the programme. To start a data analytics career in Bhubaneswar, it is advisable to earn the DataMites Certified Data Analyst Certification.

DataMites offers a wide range of flexible learning options, such as online data analytics courses in Bhubaneswar, self-study programmes, and classroom training in data analytics. Every training session has been carefully planned to assist participants in becoming authorities in their chosen fields.

Candidates may attend sessions from Datamites for a period of three months pertaining to any query or revision you wish to clear with our Flexi-Pass for Data Analytics Certification Training.

When registering for the certification examinations and receiving your participation certificate, please bring your photo ID proofs, such as a national ID card and driving licence.

Yes, we do offer free demo sessions for prospective students that provide a general idea of what the upcoming course would entail. You are welcome to attend these sessions to receive a sample of what the training will include before deciding whether to continue.

Learning through a case study method ensures that data analytics is taught in the finest and most effective way possible by the greatest instructors in the business.

Yes, you must utilise your data analytics training to the fullest. If you require any additional clarifications, you can without a doubt request help sessions.

Once you've been given the green light by IABAC and Jain University, you'll obtain an IABAC® certification as well as a JainX certification, which will pave the way for your future career in the industry and ensure that your skills are acknowledged globally.

Payments are accepted through;

  • Cash

  • Credit Card

  • PayPal

  • Visa

  • Master Card

  • American Express

  • Net Banking

  • Cheque

  • Debit Card

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

View more

OTHER DATA ANALYTICS TRAINING CITIES IN INDIA

Global DATA ANALYTICS COURSES Countries

popular career ORIENTED COURSES

DATAMITES POPULAR COURSES


HELPFUL RESOURCES - DataMites Official Blog