Data Analytics Course in Pune

Job Oriented Training

3RI Technologies Data Analytics course is designed for both data professionals and beginners interested in pursuing a career in this fast-growing field. Our instructor-led classroom and online course will teach you to use statistics and predictive analytics in the workplace, as well as to utilize analytics tools and methods, construct data visualizations, and use analytics tools and approaches. This Data Analytics course will prepare you to work as a professional Data Analyst in the real world. Our industry-experienced trainer can help you improve your chances of landing a better Data Analysts job with a good package.

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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 Analytics Course in Pune

Overview

Data Analytics is becoming more common today as companies realize their potential to unlock actionable insights from gallons of data and enhance the value of data analysis. Furthermore, data analysis & processing are of immense value, and as a result, data analyst will have more and more requirements.

 

A data analytics has never been more necessary to make data-driven decisions, as it is one of the hottest professions of the decade. If you are interested in a career in Data Analytics or machine learning, Data Analytics courses in Pune will help you develop relevant skills and experiences. 

The term Data Analytics refers to a vast area of study that draws knowledge and insights from structures and unstructured data using scientific methods and algorithms. There are many kinds of Data Analytics, including data mining, artificial intelligence, machine learning, and big data. As a Data Analytics professional, you’ll be knowledgeable about all the tools and systems used. Several renowned technologies will be covered in this course including Python, Statistics, Apache Spark & Scala, Tableau, and many others.

You will be able to build a portfolio of Data Analytics projects by the time you have completed these courses, giving you the confidence you need to dive into a career in Data Analytics.

What is the significance of Data Analytics?

To understand customer behavior, data is crucial. These opportunities are being leveraged by most companies. Therefore, these companies are trying to increase their sales and profits by using these large data sets. Analyzing this data will allow the business owners to make more informed decisions that will benefit the business.

Business owners are therefore hiring Data analysts for this purpose. Our Data Analytics course will enable you to become a skilled Data analyst.

Does a Data Analytics course require any prerequisites?

  • You don’t need any prior knowledge or experience to begin our Data Analytics course. Learning and practicing are all we need.
  • You will understand the concepts if you have studied Mathematics, or computer science, or information technology. Nevertheless, it does not prevent others from following this path.
  • It is advantageous if you have good communication skills to start your career as a Data analyst as you would be responsible for interpreting the numbers for non-technical staff, such as salespeople and marketers.
What is the duration of the course?

In addition to working on LIVE projects, an entire Job oriented course will last 3 months. If you can dedicate more time each day, you will probably be able to complete the task in less time. During the weekday batches, classes will last for 90 minutes each. The weekend class lasts only two hours. For the global certification exam in Data Analytics, you will need extra time to prepare.

What will I learn from this training in Data Analytics?

Once you start taking business analytics courses in Pune, you will master handling statistical data. 

As you will, 

  • Develop an understanding of linear algebra and optimization techniques for statistics.
  • Study the different distribution theorems utilized in probability. 
  • Learn how to program in Python and become proficient.
  • Learn how to use Python libraries while working with Data Analytics activities such as NumPy, SciKit, Panda, and many more.
  • Data can be manipulated and analyzed in any form, structured or unstructured.
  • Knowledge of a variety of Machine Learning algorithms
  • Case studies of businesses in different verticals should be included.
  • Clustering methods should be implemented
  • Gain an understanding of the responsibilities of the Data Scientist

In addition to developing soft skills along with problem-solving abilities, this course in Data Analytics will also improve your communication skills.

What will you get after certification?
  • Prepare to land a job by acquiring the right skills
  • Professional Certificates help you become job-ready whether you are looking for a new job or a career change. 3RI Technologies offer flexible learning options wherever you are most convenient. If you want to stop learning or terminate your subscription, you can do so at any time.
  • Experiential Learning
  • Create a portfolio that demonstrates your readiness for a job through hands-on projects. For your Certificate, you will need to complete one or more projects successfully.
  • Earn a professional credential
  • You will receive a certificate once you’ve completed all the courses in the program as well as access to a variety of career-related resources to help you begin your new career. You can study for a certification exam with some Professional Certificates, while others can help you recognize a Professional Certificate credential. Information about individual Professional Certificates can be found on the relevant pages.
Data Analytics employment opportunities

Professionals with Data Analytics certifications have a variety of jobs available to them. Data Scientists, Data Engineers, and Data Analysts can find employment with reputable companies. In addition to working as a freelancer or setting up a consultancy, you can provide solutions for data.

With 3RI Technologies, you’ll receive the best training in Data Analytics. We will prepare you so that you can be easily absorbed by companies that are looking for talented candidates through our Data Analytics course.

Among those available are the following positions:

  • Data Engineer
  • Analytical manager
  • Data Scientist
  • A statistical expert specialized in programming
  • Machine Learning Enginee

In India alone, 50K job opportunities are currently available for a Data Analytics developer if you search randomly. With training in Data Analytics, you can land a high-paying job that you have been seeking.

Learning Data Analytics in Pune with 3RI Technologies

The best Data Analytics course in Pune is presented by 3RI Technologies. This course begins by providing students with the basic knowledge of Data Analytics and continues to advance their knowledge as they progress. In addition to the many reasons listed below, 3RI Technologies is a great choice for this course because:

  • Implement your idea about data scientist
  • Implement your algorithms in machine learning
  • Interactive sessions
  • 24/7 support & access
  • Get to understand some concepts of Big Data Hadoop
  • Real-time project execution, activities & assignments.

Skills Required

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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 Mathematical statistics
    ● 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
2. Mathematics For Data Science
    ● Linear Algebra-Matrices
        o Zero
        o One
        o Identify
        o Diagonal
        o Column
        o Row
        o Operations
3. 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
4. Probability and Probability Distributions
    ● Probability Theory
    ● Conditional Probability
    ● Data Distribution
    ● Distribution Functions
        o Normal Distribution
        o Binomial Distribution

1. Using a Spreadsheet
    ● What is Excel?
    ● Why Use Excel?
    ● Excel Overview
    ● Excel Ranges, Selection of Ranges
    ● Excel Fill, Fill Copies, Fill Sequences,Sequence of Dates
    ● Excel adds, move, and delete cells
    ● Excel Formulas
    ● Relative and Absolute References
2. Functions
    ● SUM
    ● AVERAGE
    ● COUNT
    ● MAX & MIN
    ● RANDBETWEEN
    ● TRIM
    ● LEN
    ● CONCATENATE
    ● TODAY & NOW
3. Advanced Functions
    ● Excel IF Function
    ● Excel If Function with Calculations
    ● How to use COUNT, COUNTIF, and
    ● COUNTIFS Function?
4. 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
2. 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
3. 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
        ▪ Mean
        ▪ Standard Deviation
        ▪ Max
        ▪ Min
    ● Array Manipulation
        ▪ Reshaping
        ▪ Resizing
    ● Array I/O
    ● Matrix creation
    ● Data generation
    ● Random function
    ● Normalized Data Generation
    ● Indexing and Slicing
    ● Transpose
    ● Importing Files with Numpy
5. Data Manipulation with Pandas
    ● Data Frames
    ● Series
    ● I/O
    ● Creating Pandas DataFrame
    ● Selection in DFs
    ● Data Describe
    ● Data info
    ● Retrieving in DFs
    ● Applying Functions
    ● Reshaping the DFs – Pivot
    ● Combining DFs Merge Join
    ● Data Alignment
6. SciPy
    ● Hypothesis Testing using Scipy
    ● Shapiro Test
    ● Spearmaman Test
    ● T-Test of Independents
    ● Chi-Square Test
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
    ● Scatter plots
    ● 2D Plots
    ● Histograms
    ● Bar Graphs
    ● Pie Charts
    ● Box Plots
    ● Customization
    ● Store Plots
9. 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
10. Probability Basics
    ● Notation and Terminology
    ● Unions and Intersections
    ● Conditional Probability and Independence
11. Probability Distributions
    ● Random Variable
    ● Parameters vs. Statistics
    ● Binomial Distribution
    ● Central Limit Theorem
12. 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
13. Data Analysis
    ● Case study- Netflix
    ● Deep analysis on Netflix data

1. Exploratory Data Analysis
    ● Data Exploration
    ● Missing Value handling
    ● Outliers Handling
    ● Feature Engineering
    ● Train-Test Split
    ● Standard Scaler
    ● Min-Max Scaler
    ● Data Preprocessing
    ● Resampling
        ▪ Up-Sampling
        ▪ Down-Sampling
2. Machine Learning: Supervised Algorithms Classification
    ● Introduction to Machine Learning
    ● Linear Regression
    ● Multiple Linear Regression
    ● Gradient Descent
    ● Logistic Regression
        ▪ Binary Classification
        ▪ Multiclass classification
    ● Naïve Bays Algorithm
    ● K-Nearest Neighbor Algorithm
    ● Decision Tress
        1. Classification
        2. Regression
    ● Support Vector Machines
    ● Random Forest
    ● Model Evaluation and performance
        ▪ Accuracy ,Precision
        ▪ Recall
        ▪ F1 Score
        ▪ Confusion Matrix
        ▪ Classification Report
        ▪ K-Fold Cross Validation
        ▪ ROC, AUC etc…
    ● Hyper parameter tuning
3. Machine Learning: Unsupervised Learning Algorithms
    ● Similarity Measures
    ● Cluster Analysis and Similarity Measures
    ● K-Means Clustering
        ▪ Elbow Method
    ● Hierarchical Clustering
        ▪ Agglomerative Clustering
    ● K-Nearest Neighbors
4. Ensemble algorithms
    ● Bagging
        ▪ Random Forest
    ● Boosting
        ▪ Adaboost
    ● Voting
    ● Stacking
    ● Principal Components Analysis
5. 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 AI
    ● Intelligent Agents – Perceive-ReasonAct Loop
    ● Constraint-based Reasoning
2. Deep networks and structured knowledge
    ● Studying Neural Elements
    ● Neural Networks and Perceptions
    ● Understanding Feedforward Networks
    ● Exploring Backpropagation
    ● Working of Neural Networks
3. Natural Language Processing
    ● Natural Language Processing
    ● NLP in Python
    ● Tokenization
    ● Part of Speech Tagging (POS Tagging)
    ● Named Entity Recognition
    ● Semantic Analysis
    ● Sentiment Analysis
4. Artificial Neural Network
    ● Understanding Artificial Neural Network
    ● The Activation Function
    ● Building an ANN
    ● Building Problem Description
    ● Evaluation the ANN
    ● Improving the ANN
    ● Tuning the ANN.
5. Conventional Neural Networks
    ● CNN Intuition
    ● Convolution Operation
    ● Kernel Operation
    ● Filtering operation
    ● Padding on image
    ● Pooling Layer
    ▪ Max Pooling
    ▪ Average Pooling
    ● ReLU Layer
    ● Fully Connected Dense Layer
    ● Softmax and Cross-Entropy
    ● Building a CNN
    ● Evaluating the CNN
    ● Improving the CNN
    ● Tuning the CNN
6. 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
7. Time Series Data
    ● Introduction to Time series data
    ● Data cleaning in time series
    ● Pre-Processing Time-series Data
    ● Prediction in Time Series using LSTM
    ● Prediction in Time Series using ARIMA

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.

1. Machine Learning Features & Services
    ● Using python in Cloud
    ● Understanding Google Colab
    ● Understanding Jupyter Lab
    ● How to access Machine Learning Services
    ● Lab on accessing Machine learning services
    ● Uploading Data
    ● Preparation of Data
    ● Applying Machine Learning Model

1. Introduction to Data Visualization & Power of Tableau
    ● Architecture of Tableau
    ● Product Components
    ● Working with Metadata and Data Blending
    ● Data Connectors
    ● Data Model
    ● File Types
    ● Data Source Filters
2. Scatter Plot
    ● 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
Data Visualization with PowerBI
3. Introduction to Data Visualization & Power of Tableau
    ● Architecture of Tableau
    ● Product Components
    ● Working with Metadata and Data Blending
    ● Data Connectors
    ● Data Model
    ● File Types
    ● Data Source Filters
4. Scatter Plot
    ● 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

Project Work and Case Studies
    ❖ 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 Domain: FINANCE
    ● The 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 the 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?
Project Domain: Image Processing in Health care
    ● A hospital wants to automate the Detection of pneumonia in X-rays using image processing.
By completing this Project you will learn:
    ● How to handle image data? How to preprocess and augment image data?
    ● How to choose the right model for the 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 do convert text to the right representation?
    ● How to preprocess text data? How to select the right ML/DL model for text data?
    ● How to do transfer learning in Text Analytics?
    ● How to do CI/CD in a 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 the company to efficiently change parts before the machine fails.
By completing 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 a 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 the company efficiently manage the resources.
    ● Create a ML/DL model for this problem.
By completing 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 a 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

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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
What is the practice followed in 3RI Technologies to enroll for this data analytics course?

For registering to this data analytics course over our website and make an online payment using the following choices:

  • Visa Credit
  • Debit Card
  • MasterCard
  • American Express
  • UPI Payment
  • PayPal

Once the payment is successfully received, you will automatically get a payment receipt and access information on your registered email id.

Who will be my instructor for this course and are they experienced enough in this field?

All the instructors at 3RI Technologies are highly qualified and well proficient in the field they are selected. The Data Analytics instructors are industry experts with a least five years of related industry experience. Each of them has gone through a meticulous selection method that involves profile screening, technical valuation, and a training demo before they are permitted to train.

What is the difference between business analytics, data scientists, and data analytics?

Business Analytics, Data Science, and Data Analytics are the same with just three different names. The name of the role of people operating in this position is called Data Scientist.

Are the training – recorded sessions or live sessions for this data analytics course?

The training with 3RI Technologies for the data analytics course is a live instructor-led interactive session done at a particular time where members and trainers will log in simultaneously. These sessions are also recorded, and access will be provided to all. They can then see the sessions again with revise, recap, or watch a missed session again.

Whom to communicate with, if I want more info about this data analytics course?

Nothing to worry about. You can connect for any questions or queries you have. Simple call on – 741 007 3340. The sales team will individually handle and solve your doubts over the phone. Also, you can drop your queries on our website. You will get a revert on the email within 24 hours.

What if I miss a session of this course?

No need to worry. You can always attend the session with the next class students or avail the benefit of the recorded session option.

Why should I do this course from 3RI Technologies?

3RI Technologies grants all renowned IT training courses in more than 15+ branches all over India. All the trainers selected here have at least 5+ years of Experience at the Expert level.

  • Completely hands-on practice
  • 40 hours course duration
  • Manufacturers expert instructors
  • Completed 1200+ batches
  • job assistance
  • Certification leadership
  • Resume building
  • Extra self-development sessions
  • Interview training
  • Affordable fees
Can I attend the demo session, before enrolling?

We have a restricted number of memberships in a live session to maintain the Quality Morals and keep the sessions communicating. However, you can go through the sample class recording and attend the demo sessions for the data analytics training in Noida. This will ultimately give you a clear insight into how the classes are conducted, the quality of instructors, and the study’s level of communication. For the demo session, you need to contact us on – 741 007 3340 and they will further guide you with the process.We have a restricted number of memberships in a live session to maintain the Quality Morals and keep the sessions communicating. However, you can go through the sample class recording and attend the demo sessions for the data analytics training in Noida. This will ultimately give you a clear insight into how the classes are conducted, the quality of instructors, and the study’s level of
communication. For the demo session, you need to contact us on – 741 007 3340 and they will further guide you with the process.

What is the placement method in 3RI Technologies for this data analytics course?

3RITechnologies is one of the best institutes in volunteering placement to students.

  • More than 3500+ students are placed through 3RI Technologies
  • We have an enthusiastic placement gateway that provides the necessities of the students during placements
  • We conduct advance self-development sessions, including training tests, mock interviews, exhibition skills, to equip students to face a challenging interview situation with ease
  • 1500+ interviews organized by now
What is the coaching support provided for the data analytics course?

3RI’s education representatives are SMEs whose principal object is to make you a certified expert in the particular domain. The instructors conduct interactive sessions to teach the most advanced technologies and enhance your practice with several industry-based projects. The teaching aid provided by us is only obtainable during regular hours.

Is data analytics a difficult course to understand?

This data analytics training  includes numerous forward-thinking skills, like AI, Machine Learning, Deep Learning, and more. It is comparatively difficult to learn. However, specialists in this domain offer training specialists who have a lot of experience in the field. They make all theories more comfortable to understand as they explain each concept with several real-life examples and scenarios.

What are the prerequisites for applying to this course?

3RI Technologies data analytics  program doesn’t expect any prerequisites to start. Our program includes all the basic concepts required to grasp the data analytics procedure, which provides logical building, programming techniques, data warehousing concepts, statistics, and linear algebra.

What if I come across a query after completing this course?

You will have access to the technical forum for a lifetime once you register with us. This will help you in solving most of your questions, doubts, and queries you come across. Ultimately, you can connect with your faculty directly, else reach out to the nearest 3RI Technologies help desk for further support.

What about the study material for this data analytics training?

Yes. You will be provided with both hard copies of the study material, and the respective faculties will share soft documents over the registered email id.

Is it necessary to pay in one go or can I pay in installments?

We are open to all options. You can, of course, part sum and installments. The best way to pay is in one go, but we avail a maximum of two installments. The first installment is to be cleared on the first day of the class and the second one within 21 days from the batch start date.

How will the practical sessions have conducted for this data analytics course?

The instructors will lead you step-wise on installing the required software needed to learn Data analytics on your computers. Once done, they will also check the software during the meeting for the sessions’ issues. You will be implementing a few coding examples in the LIVE Data analytics online class. If you get any error, the instructors will guide you on how to resolve this issue instead.
It is also a must to solve all the assignments, project work, and homework tasks on time. These results need to be shared with the instructors for assessment. This constant interaction will help us observe your performance and continuously provide you with feedback on improving.

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Data Analytics Course in Pune

Recent years have seen Pune overtake Mumbai as Maharashtra’s most populous city. The population density is 6,400 people per square kilometer, and 7.4 million people live there. Situated on the fringes of the Sahyadri Hills, Pune  is 560 meters above sea level and is flanked by the Deccan Plateau and the Western Ghats. Temperature extremes in the tropics are rare in Pune’s mild semiarid environment. Pune’s booming economy is largely attributed to the city’s thriving information technology sector and its world-class educational institute. The GDP of Pune is predicted to reach $69 billion by 2021. In addition to its rich history, the city also features numerous museums, zoos, and temples that visitors will find fascinating.

Some of Pune’s most visited landmarks are listed here.

3RI Technologies provide training for software courses like AWS, DevOps, AWS with DevOps, PowerBI, Tableau, Salesforce, Selenium, Java Full Stack, Oracle SQL/PLSQL, Data Science, Machine Learning, Artificial Intellegence.


Data Analytics Certification Training locations in Pune:
 Pune City, Aundh (411007), Gokhalenagar (411016), Kothrud (411029), Baner (411004), Shivajinagar (411005), Parvati (411009), Kondhwa (411048), Navsahyadri (411052), Chatursringi (411053), Pimpri Chinchwad (411078), Pimple Gurav (411061), Pimple Nilakh (411027), Pimple Saudagar (411027), Pimple Khed (411017), Pimple Jagtap (411061), Rahatani (411017), Wakad (411057), Balewadi (411045), Vishal Nagar (411027), Thergaon (411033), Shivaji Nagar (Pimpri-Chinchwad) (411017), Sangvi (411027), Jagtap Dairy (411027)

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