DATA ANALYTICS CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN JAIPUR

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

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UPCOMING DATA ANALYTICS ONLINE CLASSES IN JAIPUR

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.

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WHY DATAMITES INSTITUTE FOR DATA ANALYTICS COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYTICS CERTIFICATION IN JAIPUR

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 objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity

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
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions

MODULE 4: PYTHON FUNCTIONS

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

MODULE 5: PYTHON NUMPY PACKAGE

• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations

MODULE 6: PYTHON PANDAS PACKAGE

• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis

MODULE 1 : OVERVIEW OF 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
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Biased Random Sampling Methods
  • 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
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Confidence Interval
  • Parametric Hypothesis Testing Methods
  • Hypothesis Testing Errors : Type I And Type Ii
  • One Sample T-test
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test

MODULE 5 : CORRELATION AND REGRESSION

  • Correlation Introduction
  • Direct/Positive Correlation
  • Indirect/Negative Correlation
  • Regression
  • Choosing Right Method
     

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Performing Comparison Analysis on Data
• Performing correlation Analysis on Data
• Hands-on case study 1: Comparison Analysis
• Hands-on case study 2 Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Concept of Variability and Variance
• Data Preparation for Variance Analysis
• Business use cases for Variance and Frequency Analysis
• Performing Variance and Frequency Analysis
• Hands-on case study 1: Variance Analysis
• Hands-on case study 2: 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: Procurement Decision with break even

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis
• Insights on Optimizing Operations with Pareto Analysis
• Performing Pareto Analysis on Data
• 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
• Hands-on Case Study: Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements
• Presenting the reports
• Hands-on case study: Create Data Analysis Reports

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Visual Perspective
• Benefits of Business Analytics
• Challenges
• Classification of Business Analytics
• Data Sources
• Data Reliability and Validity
• Business Analytics Model

MODULE 2: OPTIMIZATION MODELS

• Prescriptive Analytics with Low Uncertainty
• Mathematical Modeling and Decision Modeling
• Break Even Analysis
• Product Pricing with Prescriptive Modeling
• Building an Optimization Model
• Case Study 1 : WonderZon Network Optimization
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics beyond Linear Regression
• Hands on: Regression Modeling in Excel
• Case Study 2 : Sales Promotion Decision with Regression Analysis
• Assignment 2 : Design Marketing Decision board for QuikMark Inc.

MODULE 4: DECISION MODELING

• Prescriptive Analytics with High Uncertainty
• Comparing Decisions in Uncertain Settings
• Decision Trees for Decision Modeling
• Case Study 3 : Decision modeling of Internet Plans, Monte Carlo Simulation
• Case Study 4 : Kickathlon Sports Retailer Supplier Decision Modeling

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
• How it works: Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN
• How It Works: Nearest Neighbor Concept
• Hands-on KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• K Means Algorithm
• How it works : K Means theory
• Hands-on K Means Clustering with ML Tool

MODULE 6: ML ALGO: DECISION TREE

• Random Forest Ensemble technique
• How it works: Bagging Theory
• 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
• Modeling and Evaluation of SVM in Python

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN
• How It Works: Back prop, Gradient Descent
• Modeling and Evaluation of ANN in Python

MODULE 9: PROJECT: PREDICTIVE ANALYTICS WITH ML

• Project Business requirements
• Data Modeling
• Building Predictive Model with ML Tool
• Evaluation and Deployment
• Project Documentation and Report

MODULE 1: GIT INTRODUCTION

• Purpose of Version Control
• Popular Version control tools
• Git Distribution Version Control
• Terminologies
• Git Workflow
• Git Architecture

MODULE 2: GIT REPOSITORY and GitHub

• Git Repo Introduction
• Create New Repo with Init command
• Copying existing repo
• Git user and remote node
• Git Status and rebase
• Review Repo History
• GitHub Cloud Remote Repo

MODULE 3: COMMITS, PULL, FETCH AND PUSH

• Code commits
• Pull, Fetch and conflicts resolution
• Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING

• Organize code with branches
• Checkout branch
• Merge branches

MODULE 5: UNDOING CHANGES

• Editing Commits
• Commit command Amend flag
• Git reset and revert

MODULE 6: GIT WITH GITHUB AND BITBUCKET

• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers
• Bitbucket Git account

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
• Comments
• import and export dataset

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
• Cross join
• Self join

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
• Hands-on Map Reduce task

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
• Working with Spark SQL Query Language

MODULE 5: MACHINE LEARNING WITH SPARK ML

• Introduction to MLlib Various ML algorithms supported by Mlib
• ML model with Spark ML.
• Linear regression
• logistic regression
• Random forest

MODULE 6: KAFKA and Spark

• Kafka architecture
• Kafka workflow
• Configuring Kafka cluster
• Operations

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION

• What Is Business Intelligence (BI)?
• What Bi Is The Core Of Business Decisions?
• BI Evolution
• Business Intelligence Vs Business Analytics
• Data Driven Decisions With Bi Tools
• The Crisp-Dm Methodology

MODULE 2: BI WITH TABLEAU: INTRODUCTION

• The Tableau Interface
• Tableau Workbook, Sheets And Dashboards
• Filter Shelf, Rows And Columns
• Dimensions And Measures
• Distributing And Publishing

MODULE 3: TABLEAU: CONNECTING TO DATA SOURCE

• Connecting To Data File , Database Servers
• Managing Fields
• Managing Extracts
• Saving And Publishing Data Sources
• Data Prep With Text And Excel Files
• Join Types With Union
• Cross-Database Joins
• Data Blending
• Connecting To Pdfs

MODULE 4: TABLEAU : BUSINESS INSIGHTS

• Getting Started With Visual Analytics
• Drill Down And Hierarchies
• Sorting & Grouping
• Creating And Working Sets
• Using The Filter Shelf
• Interactive Filters
• Parameters
• The Formatting Pane
• Trend Lines & Reference Lines
• Forecasting
• Clustering

MODULE 5: DASHBOARDS, STORIES AND PAGES

• Dashboards And Stories Introduction
• Building A Dashboard
• Dashboard Objects
• Dashboard Formatting
• Dashboard Interactivity Using Actions
• Story Points
• Animation With Pages

MODULE 6: BI WITH POWER-BI

• Power BI basics
• Basics Visualizations
• Business Insights with Power BI

OFFERED DATA ANALYTICS COURSES IN JAIPUR

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN JAIPUR

A carefully developed curriculum that demonstrates all-around training is available at the DataMitesTM global institution for data analytics programmes. DataMites offers a variety of flexible learning alternatives, including in-person training, online data analytics training in Jaipur, and superbly recorded sessions. Our data analytics certification programme in Jaipur has received accreditation from the European Union's IABAC organisation. Get a top-notch training environment at a fair price by using DataMites.

Being trained in data analytics and accredited as a data analytics professional has several advantages in the era of big data. If you want to become a data scientist, engineer, or analyst, you might want to think about getting the DataMites data analytics training in Jaipur. With the aid of industry-designed Data Analytics Courses in Jaipur, you may progress your career and apply for the highest paying positions. Because the course is extensive in and of itself, candidates are taught everything from the beginning. The data analytics course fee in Jaipur is 42,000 INR.

DataMites Data Analytics Certification Courses in Jaipur are of 4 months time frame with both Data Analytics Courses Online in Jaipur and Data Analytics Classroom Courses in Jaipur that would be imparted within a three-phase learning method. 

Our methodical three-step learning process consists of the following:

Phase 1 is the first level, and it entails giving students access to videos and other resources for independent study as well as the essential study materials.

Phase 2 = Provides online training for data analytics, an interactive capstone project, and the IABAC Data Analytics Credential.

Projects, internships, and the Job Ready Curriculum are all part of the 3rd phase of the programme.

The Certified Data Analyst Course in Jaipur is a credential programme offered by DataMites for data analysts. We give you specialised training so that you can acquire all the skills you need to take a step closer to landing your ideal career. The cost of our certified data analyst course in Jaipur is 55,000 INR, however, right now it's only 44,900 INR. It has IABAC and JainX certifications.

Jaipur, the pink city is the capital and largest city of Rajasthan. In the flourishing industry that Data Analytics and Data Science have become it is difficult to find such a top-notch course that is pretty close to your reach. Yes, data analytics is a lucrative profession. Simply put, there has never been a more exciting time to work with data. Data is being created at an incredible rate of 2.5 quintillion bytes per day, and this rate is only rising. According to Payscale, a data analyst's average salary in Jaipur is 3,90,253 and glassdoor revealed that a data analyst in Jaipur earns a moderate amount of 4,29,254 LPA!

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

Join Data Analytics Training in Jaipur. Grab your chance!

ABOUT DATA ANALYTICS COURSE IN JAIPUR

Organizations can use data analytics to evaluate all of their data (historical, real-time, unstructured, qualitative), find patterns, and produce insights that can be used to guide and, in some circumstances, automate decisions, bridging intelligence and action.

The basic answer is everyone eager to learn data analytics, whether they are seasoned professionals or complete beginners. It is possible for engineers, software developers, IT specialists, and marketers to register for the DataMites Data Analytics Course in Jaipur.

While both Business Analytics and Data Analytics are important, there are some fundamental differences between them. The activity of examining databases to draw conclusions about the data they contain is known as "data analytics." Using tools for data analysis, you can take raw data and find patterns to gain insightful knowledge. Business analytics is the application of statistics in a practical setting with the goal of giving useful advice.

  • Data analytics is becoming a top priority for top businesses.

  • There are more positions open.

  • Professional pay for data analytics is increasing. Big data analytics is prevalent everywhere you look.

  • You will be able to select from a range of job titles and play a crucial role in how the business makes decisions.

A very solid career in data analytics. There has never been a better time to be a data professional, to put it simply. Data creation is increasing at a rate of 2.5 quintillion bytes each day. Depending on the training level you want, there will be a difference in cost. The cost of data analytics training in Jaipur might be anything between 30,000 and 100,000 Indian rupees.

A degree is not often required for work as a data analyst, but it is crucial to get the right certification from an accredited college. The time it takes to learn the skills needed for success in data analytics might range from six weeks to two years. DataMites 4-month Data Analytics Training Programme in Jaipur is a good way to learn about and get expertise in data analytics. The variability is accounted for by the several distinctive paths one could pursue to become a data analytics specialist.

If you're new to the field of data analysis, you may start off as a junior analyst. If you have any previous experience with transferable data analytical skills, you might be able to get work as a data analyst.

  • Data Scientist

  • Data Engineer

  • Quantitative Analyst

  • Data Analyst Consultant

  • Operations Analyst

  • Marketing Analyst

  • Project Manager

  • Business Intelligence Analyst

  • Data Analyst

  • IT Systems Analyst

Technical skills like data analysis, statistical knowledge, data storytelling, communication, and problem-solving would be advantageous for learning Data Analytics. Business intuition and strategic thinking are also considered important for data analysts that often partner with business stakeholders.

  • 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 USD 69,517 per year in the United States. (Glassdoor)

  • 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)

Salary packages are certain to stay appealing for eligible candidates since the supply of talent is running scarce, as we previously stated. The financial rewards of switching to a profession in data analytics are significantly higher than those of other IT jobs. According to Payscale, a data analyst's average salary in Jaipur is 3,90,253 and glassdoor revealed that a data analyst in Jaipur earns a moderate amount of 4,29,254 LPA!

Because there is an increasing demand for data specialists and a small supply, those in this industry have strong employment prospects. DataMites is the best educational facility for you if you want to pursue a career in the analytics industry. The course material is well developed, and the major mentors are skilled and committed to the industry. For real skills, projects and internship opportunities are available!

The top qualification in data analytics is Certified Data Analyst, which verifies your capacity to confidently assess data using a range of technologies. A certification demonstrates your proficiency in manipulating data, conducting exploratory research, comprehending the fundamentals of analytics, and visualising, presenting, and expanding on your results. The DataMites Certified Data Analyst Course in Jaipur has earned recognition from both IABAC and the renowned Jain University.

The DataMites data analyst certification programme is your best choice in this profession. You can obtain strong evidence from our data analytics course that you are qualified to assist businesses, particularly well-known multinationals, in interpreting the data at hand. In contrast to a data analytics certificate, it is proof that you are qualified to perform the duties of a certain work role in line with business needs.

Yes, but not specialised programming knowledge. It is essential to be proficient in a querying language like SQL and to have a solid foundation in Python or R. Fortunately, these languages' fundamentals are simple to master. DataMites can teach you everything you need to know.

Yes, it is the answer. Data analysts don't need to have prior work experience. Through DataMites Data Analytics Training, a novice can become a data analyst if they understand the trade's secrets and endeavour to hone the necessary abilities.

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FAQ’S OF DATA ANALYTICS TRAINING IN JAIPUR

Both freshmen and undergraduate students may enrol in the course. Following a profession as a data analyst will be the best choice for you if you want to go from an IT profile to a business profile. You will have a decent chance of succeeding in this sector if you have any potential for coding and IT skills. DataMitesTraining is also open to non-IT professionals working in industries like hum an resources, banking, marketing, and sales, among others.

  • The International Association of Business Analytics Certifications has approved the global institute for data science known as DataMitesTM (IABAC).

  • trained more than 50,000 applicants

  • To provide the greatest instruction possible, the three-phase learning technique was painstakingly created.

  • Participate in beneficial case studies and real-world projects.

  • Obtain the international certifications IABAC and JainX Data Analytics.

  • Job assistance and internships

DataMites charges about 42,000 INR for data analytics training in Jaipur.

You may develop your career and apply for the best paid employment by taking courses in data analytics that have been specifically created for the industry. At DataMites, you'd receive a 4-month training programme in data analytics.

The DataMites Certified Data Analyst Training in Jaipur is required if you're thinking about working in data analysis. Our curriculum is certain to provide the education, experience, and qualifications required to begin working as a data analyst right away.

Data analytics has grown to be a large field, so we want to develop skilled workers in the domain. Our instructors at DataMites are highly knowledgeable and have hands-on experience in the data field, so they can provide the finest learning environment for your upcoming big move.

Our Flexi-Pass for Data Analytics Certification Training in Jaipur allows applicants to attend sessions from Datamites for a period of three months pertaining to any query or revision you wish to clear.

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.

Upon conclusion of the course, you will surely receive a course completion certificate from DataMites.

You don't have a dilemma with that. Speak with your trainers about the matter to arrange a class that meets your schedule. You may simply pick up the content you missed at your own pace and comfort by watching the recordings and uploads of every session of the online data analytics training in Jaipur. The ability to grasp data analytics has never been so straightforward!

Payment can be made via;

  • Cash

  • Credit Card

  • PayPal

  • Visa

  • Master Card

  • American Express

  • Net Banking

  • Cheque

  • Debit Card

In your area, we do provide on-demand classroom instruction. Although you don't need to commute or adhere to a strict schedule to study with our data analytics online programme in Jaipur, you can do it from anywhere in the world. There are benefits to studying independently with a curriculum that is equally as useful as in-person instruction.

Yes, we do provide free demo sessions that give prospective students a general picture of what the upcoming course would entail. You are welcome to attend these sessions to get a feel for the programme and then decide whether to progress with it or not.

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.

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