Mastering in Data Analytics Course in Jaipur

Job Oriented Training

3RI Technologies offers comprehensive Data analytics courses for career advancement in the Industry, catering to both beginners and experienced professionals. Whether starting or skilled, these courses ensure success in the dynamic field of Data analytics.

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Key Features

Course Duration : 5 Months

Live Projects : 4

Online Live Training

EMI Option Available

Certification & Job Assistance

24 x 7 Lifetime Support

Our Industry Expert Trainer

We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

Data Analyst Course in Jaipur

Overview

Data Analytics Training in Jaipur, training is tailored to equip you with the skills needed to secure positions in top-tier organizations. Our online course features real-time projects and case studies, providing invaluable practical experience highly sought after in the corporate landscape. Choose from flexible learning formats to fit your schedule and learning preferences. 

Upon completing the Data Analytics course in Jaipur at 3RI Technologies, you will be awarded a certificate, validating your expertise in data analysis. This certification serves as evidence of your mastery in the field and is recognized by industry professionals.

  •  24/7 Accessibility to Software: Gain continuous access to various software, enhancing your practical skills and ensuring you stay updated with the latest tools.
  • 3RI Technologies Data Analysis Master’s Certificate: Receive a prestigious certificate from 3RI Technologies, acknowledged and respected in the industry, adding significant value to your professional profile.

Career Progression: Our holistic program is tailored to equip you for triumph in your professional journey. Engage in practical projects and real-world case studies to acquire hands-on experience. Delve into understanding customer behavior, fine-tune marketing strategies, forecast market shifts, and approach strategic choices with assurance.

Successfully finishing the course not only grants you a certification but also furnishes you with the essential skills and knowledge required to excel in the dynamic field of Data Analytics, ensuring a successful career track.

Our comprehensive program will equip you with the necessary tools and knowledge to excel in the rapidly evolving field of data analysis. Gain hands-on experience and valuable insights from industry experts to propel your career forward.

Why become a Data Analytics?

Having expertise in data analytics can open up a wide range of career opportunities in fields such as finance, marketing, and healthcare. Additionally, professionals in this field are often sought after to help companies improve efficiency and drive growth through data-driven strategies.

 

Data analytics skills are in high demand across industries as businesses increasingly rely on data-driven insights to make strategic decisions. Data analytics skills are transferable across various sectors, including finance, healthcare, marketing, and technology, providing a wide range of career opportunities. Analyzing large datasets and extracting meaningful insights can be intellectually stimulating, offering continuous learning and problem-solving opportunities.

 

The field of data analytics is rapidly evolving, providing ample opportunities for career advancement and professional development.

 

Data analytics can be applied to hurry-up popular challenges, such as healthcare improvements, environmental sustainability, and social justice, making it a rewarding career choice for those interested in making a positive impact.

Advantages of Learning Data Analytics course in Jaipur

Access to reputable institutes Jaipur hosts several renowned educational institutions offering comprehensive data analytics courses with experienced faculty. Main Advantage of

  • Cost-effectiveness: Compared to larger cities, the cost of living and tuition fees in Jaipur are relatively lower, making it a more affordable option for pursuing education.
  • Emerging job market: Jaipur’s growing IT and technology sector has increased the demand for skilled Data Analytics, providing ample job opportunities upon course completion.
  • Cultural experience: Studying in Jaipur offers not only academic benefits, but the vibrant atmosphere of Jaipur provides a stimulating environment for learning and personal development.
  • Networking opportunities: Joining Data Analytics courses in Jaipur allows students to connect with industry professionals and focus, on and promote valuable networking relationships for future career growth.

Seize the chance to mold your future with 3RI Technologies comprehensive training program. Data analytics professionals are in high demand as they possess the skills to interpret complex data sets and provide valuable insights that drive strategic growth. 

 

By enrolling in our program, you’ll acquire the skills and knowledge necessary to apply the full potential of data, setting yourself apart in this competitive and rapidly evolving field. Whether your aspirations lie in becoming a data analyst, business intelligence specialist, or data scientist, our program equips you with the foundational skills for success in these essential roles and beyond. Don’t just follow industry trends; be at the forefront of innovation with data expertise from 3RI Technologies.

Learning Data Analytics with 3RI Technologies

Step into the world of data analytics mastery with us at 3RI Technologies in Jaipur. Through a combination of hands-on training and theoretical knowledge, you will gain practical experience that will set you apart in the industry. Our expert instructors are dedicated to helping you reach your full potential and succeed in the competitive world of technology.

 

With state-of-the-art facilities, expert instructors, and a hands-on learning approach, we ensure that you receive top-quality education and training every step of the way. Join us and unlock your potential in Data analytics today! 

 

Experience unconditional flexibility in your learning journey with 3RI Technologies. Our scheduling options are very flexible, ensuring that we cater to the diverse needs of learners. From expert professionals seeking to upskill to recent graduates aspiring to seamlessly transform into a new career, we provide personalized guidance for everyone. Whether you are carefully looking to upskill, reskill, or embark on a dynamic career shift, 3RI Technologies is dedicated to offering essential resources and dedicated support. Achieve your big goals in the realm of Data Analytics with precision and confidence.

 

Embark on a journey of transformative learning with us at 3RI Technologies, where your individual needs and goals take center stage. This commitment ensures that our students receive a top-notch education that prepares them for success in their future careers, from our cutting-edge facilities to our expert instructors and hands-on learning approach. 

 

We prioritize your success by offering flexible scheduling options and personalized guidance tailored to accommodate a wide range of learning styles and backgrounds. Whether you’re an expert professional aiming to upskill, a recent graduate seeking to reskill, or someone looking to transition into the exciting field of Data Analytics, 3RI Technologies is committed to providing the resources and support you need to reach your goals.

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Data Analytics Course Syllabus

Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers

  1. Fundamentals of Data Science and Machine Learning
  • Introduction to Data Science
  • Need of Data Science
  • BigData and Data Science’
  • Data Science and machine learning
  • Data Science Life Cycle
  • Data Science Platform
  • Data Science Use Cases
  • Skill Required for Data Science
  1. Mathematics For Data Science
  • Linear Algebra
    • Vectors
    • Matrices
  • Optimization
    • Theory Of optimization
    • Gradients Descent
  1. Introduction to Statistics
  • Descriptive vs. Inferential Statistics
  • Types of data
  • Measures of central tendency and dispersion
  • Hypothesis & inferences
  • Hypothesis Testing
  • Confidence Interval
  • Central Limit Theorem
  1. Probability and Probability Distributions
  • Probability Theory
  • Conditional Probability
  • Data Distribution
  • Distribution Functions
    • Normal Distribution
    • Binomial Distribution
  1. Using Spreadsheet
  • What is Excel?
  • Why Use Excel?
  • Excel Overview
  • Excel Ranges,Selection of Ranges
  • Excel Fill,Fill Copies,Fill Sequences,Sequence of Dates
  • Excel add,move,delete cells
  • Excel Formulas
  • Relative and Absolute References
  1. Functions
  • SUM
  • AVERAGE
  • COUNT
  • MAX & MIN
  • RANDBETWEEN
  • TRIM
  • LEN
  • CONCATENATE
  • TODAY & NOW
  1. Advanced Functions
  • Excel IF Function
  • Excel If Function with Calculations
  • How to use COUNT, COUNTIF, and COUNTIFS Function?
  • Excel Advanced If Functions
  1. Data Visualization
  • Excel Data Analysis – Data Visualization
  • Visualizing Data with Charts
  • Chart Elements and Chart Styles
  • Data Labels
  • Quick Layout

 

  • An Introduction to RDBMS & SQL
  • Data Retrieval with SQL
  • Pattern matching with wildcards
  • Basics of sorting
  • Order by clause
  • Aggregate functions
  • Group by clause
  • Having clause
  • Nested queries
  • Inner join
  • Multi join
  • Outer join
  • Adding and Deleting columns
  • Changing column name and Data Type
  • Creating Table from existing Table
  • Changing Constraints Foreign key.
  1. An Introduction to Python
  • Why Python , its Unique Feature and where to use it?
  • Python environment Setup/shell
  • Installing Anaconda
  • Understanding the Jupyter notebook
  • Python Identifiers, Keywords
  • Discussion about installed module s and packages
  1. Conditional Statement ,Loops and File Handling
  • Python Data Types and Variable
  • Condition and Loops in Python
  • Decorators
  • Python Modules & Packages
  • Python Files and Directories manipulations
  • Use various files and directory functions for OS operations
  1. Python Core Objects and Functions
  • Built in modules (Library Functions)
  • Numeric and Math’s Module
  • String/List/Dictionaries/Tuple
  • Complex Data structures in Python
  • Python built in function
  • Python user defined functions

4. Introduction to NumPy

  • Array Operations
  • Arrays Functions
  • Array Mathematics
  • Array Manipulation
  • Array I/O
  • Importing Files with Numpy

5. Data Manipulation with Pandas

  • Data Frames
  • I/O
  • Selection in DFs
  • Retrieving in DFs
  • Applying Functions
  • Reshaping the DFs – Pivot
  • Combining DFs
    Merge
    Join
  • Data Alignment 

6. SciPy

  • Matrices Operations
  • Create matrices
    Inverse, Transpose, Trace,   Norms , Rank etc
  • Matrices Decomposition
  • Eigen Values & vectors
  • SVDs

7.Visualization with Seaborn

    • Seaborn Installation
    • Introduction to Seaborn
    • Basics of Plotting
    • Plots Generation
    • Visualizing the Distribution of a Dataset
    • Selection color palettes  

8. Visualization with Matplotlib

  • Matplotlib Installation
  • Matplotlib Basic Plots & it’s Containers
  • Matplotlib components and properties
  • Pylab & Pyplot
  • Scatter plots
  • 2D Plots-
  • Histograms
  • Bar Graphs
  • Pie Charts
  • Box Plots
  • Customization
  • Store Plots

9. SciKit Learn

  • Basics
  • Data Loading
  • Train/Test Data generation
  • Preprocessing
  • Generate Model
  • Evaluate Models

10. Descriptive Statistics

  • Data understanding
  • Observations, variables, and data matrices
  • Types of variables
  • Measures of Central Tendency
  • Arithmetic Mean / Average
    • Merits & Demerits of Arithmetic Mean and Mode
    • Merits & Demerits of Mode and Median
    • Merits & Demerits of Median Variance

11. Probability Basics

  • Notation and Terminology
  • Unions and Intersections
  • Conditional Probability and Independence

12. Probability Distributions

  • Random Variable
  • Probability Distributions
  • Probability Mass Function
  • Parameters vs. Statistics
  • Binomial Distribution
  • Poisson Distribution
  • Normal Distribution
  • Standard Normal Distribution
  • Central Limit Theorem
  • Cumulative Distribution function

13.  Tests of Hypothesis

  • Large Sample Test
  • Small Sample Test
  • One Sample: Testing Population Mean
  • Hypothesis in One Sample z-test
  • Two Sample: Testing Population Mean
  • One Sample t-test – Two Sample t-test
  • Paired t-test
  • Hypothesis in Paired Samples t-test
  • Chi-Square test

14. Data Analysis

  • Case study- Netflix
  • Deep analysis on Netflix data
  1. Exploratory Data Analysis
  • Data Exploration
  • Missing Value handling
  • Outliers Handling
  • Feature Engineering
  1. Feature Selection
  • Importance of Feature Selection in Machine Learning
  • Filter Methods
  • Wrapper Methods
  • Embedded Methods
  1. Machine Learning: Supervised Algorithms Classification
  • Introduction to Machine Learning
  • Logistic Regression
  • Naïve Bays Algorithm
  • K-Nearest Neighbor Algorithm
  • Decision Tress
    1. SingleTree
    2. Random Forest
  • Support Vector Machines
  • Model Ensemble
  • Model Evaluation and performance
    • K-Fold Cross Validation
    • ROC, AUC etc…
  • Hyper parameter tuning
    • Regression
    • classification
  1. Machine Learning: Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Decision Tree and Random Forest Regression
  1. Machine Learning: Unsupervised Learning Algorithms
  • Similarity Measures
  • Cluster Analysis and Similarity Measures
  1. Ensemble algorithms
  • Bagging
  • Boosting
  • Voting
  • Stacking
  • K-means Clustering
  • Hierarchical Clustering
  • Principal Components Analysis
  • Association Rules Mining & Market Basket Analysis

7. Recommendation Systems

  • collaborative filtering model
  • content-based filtering model.
  • Hybrid collaborative system.
  1. Artificial Intelligence
    • An Introduction to Artificial Intelligence
    • History of Artificial Intelligence
    • Future and Market Trends in Artificial Intelligence
    • Intelligent Agents – Perceive-Reason-Act Loop
    • Search and Symbolic Search
    • Constraint-based Reasoning
    • Simple Adversarial Search (Game-Playing)
    • Neural Networks and Perceptions
    • Understanding Feedforward Networks
    • Boltzmann Machines and Autoencoders
    • Exploring Backpropagation
  2. Deep Networks and Structured Knowledge
    • Understanding Sensor Processing
    • Natural Language Processing
    • Studying Neural Elements
    • Convolutional Networks
    • Recurrent Networks
    • Long Short-Term Memory (LSTM) Networks
  3. Natural Language Processing
    • Natural Language Processing
    • Natural Language Processing in Python
    • Studying Deep Learning
    • Artificial Neural Networks
    • ANN Intuition
    • Plan of Attack
    • Studying the Neuron
    • The Activation Function
    • Working of Neural Networks
    • Exploring Gradient Descent
    • Stochastic Gradient Descent
    • Exploring Backpropagation
  4. Artificial and Conventional Neural Network
    • Understanding Artificial Neural Network
    • Building an ANN
    • Building Problem Description
    • Evaluation the ANN
    • Improving the ANN
    • Tuning the ANN
  5. Image Processing / Machine Vision
  • Image basics
  • Loading and saving images
  • Thresholding
  • Bluring
  • Masking
  • Image Augmentation
  1. Conventional Neural Networks
  • CNN Intuition
  • Convolution Operation
  • ReLU Layer
  • Pooling and Flattening
  • Full Connection
  • Softmax and Cross-Entropy
  • Building a CNN
  • Evaluating the CNN
  • Improving the CNN
  • Tuning the CNN
  1. Recurrent Neural Network
  • Recurrent Neural Network
  • RNN Intuition
  • The Vanishing Gradient Problem
  • LSTMs and LSTM Variations
  • Practical Intuition
  • Building an RNN
  • Evaluating the RNN
  • Improving the RNN
  • Tuning the RNN
  1. Time Series Data
  • Introduction to Time series data
  • Data cleaning in time series
  • Pre-Processing Time series Data
  • Predictions in Time Series using ARIMA, Facebook Prophet models.
  1. Introduction to Git& Distributed Version Control
  2. Life Cycle
  3. Create clone & commit Operations
  4. Push & Update Operations
  5. Stash, Move, Rename & Delete Operations.

Machine Learning Features and Services

  • Using python in Cloud
  • How to access Machine Learning Services
  • Lab on accessing Machine learning services
  • Uploading Data
  • Preparation of Data
  • Applying Machine Learning Model
  • Deployment by Publishing Models using AWS or other cloud computing

1.Introduction  to Data Visualization and the Power of Tableau

  • Architecture of Tableau
  • Product Components
  • Working with Metadata and Data Blending
  • Data Connectors
  • Data Model
  • File Types
  • Dimensions & Measures
  • Data Source Filters
  • Creation of Sets

2.Scatter Plot

  •  Gantt Chart
  • Funnel Chart
  • Waterfall Chart
  • Working with Filters
  • Organizing Data and Visual Analytics
  • Working with Mapping
  • Working with Calculations and Expressions
  • Working with Parameters
  • Charts and Graphs
  • Dashboards and Stories
  • Machine Learning end to end Project blueprint
  • Case study on real data after each model.
  • Regression predictive modeling – E-commerce
  • Classification predictive modeling – Binary Classification
  • Case study on Binary Classification – Bank Marketing
  • Case study on Sales Forecasting and market analysis
  • Widespread coverage for each Topic
  • Various Approaches to Solve Data Science Problem
  • Pros and Cons of Various Algorithms and approaches
  • Amazon-Recommender
  • Image Classification
  • Sentiment Analysis

Project Domains: Finance

  • Insurance company wants to decide on the premium using various parameters of the client.
  • It’s an important problem to keep the clients and attract new ones.

By completing this project you will learn:

  • How to collect data?, how to justify right features? , Which ML / DL model is best in this situation? How much data is enough?
  • How to have CI/CD in the project?
  • How to do Deployment of Project to cloud?

Image Processing in Health care

  • A hospital wants to automate Detection of pneumonia in X-rays using image processing.

By doing this project you will understand

  • How to handle image data? How to preprocess and augment image data? How to choose right model for image process?
  • How to apply transfer learning in image processing?
  • How to do incremental learning & CI/CD in the project?
  • How to do Deployment of Project to cloud?

Natural Language Processing

  • One of the companies wants to automate applicant’s level in English communication.
  • Create a ML/DL model for this task.

By completing this project you will learn

  • How to do convert text to right representation? How to preprocess text data? How to select right ML/DL model for text data ?
  • How to do transfer learning in Text Analytics?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

Mechanical

  • A mechanical company wants to perform predictive maintenance of engine parts.
  • This enables company to efficiently change parts before machine fails.

By performing this task you will learn,

  • How to handle time series data?
  • How to preprocess time series data?
  • How to create ML/DL model for Time series Data?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

Sales / Demand Forecasting

  • Predict the sales / demand of a product of a company.
  • Sales / Demand forecasting of the product will help company efficiently manage the resources.
  • Create a ML/DL model for this problem.

By performing this project you will learn,

  • How to handle time series data?
  • How to preprocess time series data?
  • How to create ML/DL model for Time series Data?
  • How to do CI/CD in text analytics project?
  • How to do Deployment of Project to cloud?

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Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Dedicated Industry Experts Mentors

Receive 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

Batch Schedule

Schedule Your Batch at your convenient time.

31-Mar-24 | SAT-SUN 8:00 AM to 10:00 AM

15-Apr-24 | MON-FRI 8:00 AM to 10:00 AM

28-Apr-24 | SAT-SUN 8:00 AM to 10:00 AM

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Will I Get Certified?

Upon successfully completing this program, you’ll earn a certificate.

The 3RI certification is accepted and respected by every significant multinational company across the nation. Fresh graduates and corporate trainees are eligible for the assistance. We offer certificate once the academic and practical courses have been finished. The certification that we offer here at 3RI is recognized across the country. The value of your resume will grow as a result. With the assistance of this qualification, you will be able to obtain prominent employment posts in the most successful multinational corporations in the country. The completion of our course as well as the projects that are based on practical application, are prerequisites for receiving the certificate.

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Frequently Asked Questions

1. What is the normal duration of the Mastering in Data Analytics course offered in Jaipur?

Typically, the program can range from 6 months to 1 year, with some intensive courses offering a shorter duration. It is important to research and compare different options to find the best fit for your learning goals and schedule.

2. Which prominent companies in Jaipur are actively hiring data analysts?

Some prominent companies in Jaipur that are actively hiring data analysts are Genpac, Infosys, TCS (Tata Consultancy Services), Wipro, Tech Mahindra and Capgemini, Accenture and more. It’s a good idea to regularly check job portals and the career pages of these companies for current job openings in data analytics roles.

3. What is the average salary range for data analytics in Jaipur?

The salary range for data analytics in Jaipur typically falls between INR 3,00,000 to INR 7,00,000 per year. However, this can vary based on individual factors like experience, skills, education, and the industry or company they work for.

4. Could I receive a full layout of the syllabus?

Visit their website to access comprehensive information about the course structure, topics covered, and any additional details you may need. This will give you a better understanding of what the Data Analytics course entails and help you make an informed decision about enrollment.

5. Does 3RI Technologies offer job assistance?

The placement team at 3RI Technologies helps students prepare for interviews, build resumes, and connect with potential employers. They have a strong network of industry partners that regularly hire graduates from their programs.

6. Is it possible to pursue a career in data analytics without a college degree?

While having a college degree in mathematics, probability, or computer science can certainly be advantageous, it’s not a mandatory requirement for aspiring data analysts. What truly matters is possessing the necessary skills in this domain. Therefore, enrolling in data science training courses to acquire these skills can be immensely beneficial, regardless of your academic background.

7. What types of projects are typically included in the training curriculum?

We provide you with the most up-to-date and relevant real-world projects as integral components of our training program By working on these projects, you will gain practical experience and build a portfolio that showcases your abilities to potential employers. This hands-on approach will better prepare you for the demands of the workforce and help you stand out in your field.

8. How does this course advantage Data Analytics in Jaipur?

This course in Jaipur benefits data analytics by enhancing skills, providing industry recognition, offering practical experience, and opening up career opportunities.

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