Data Science Training in Kochi

Upgrade your Data Science Skillset with our Data Analyst courses in Kochi!

Trained 15000+ Students | Course duration: 40 hours | Real-time Project Execution | Certification exam after course completion | Basic to advanced level learning |

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Key Features

Course Duration : 8 Weeks

Live Projects : 1

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.

Overview of Data Science Training Course in Kochi

Data Science course Overview

To assist your organization in creating a data science training program, you need an understanding of what data science is. Data scientist is a term that was invented in 2008, and it has since been used to describe several different functions. As its name implies, data science entails using various tools, algorithms, and techniques to discover patterns in large amounts of data.

A data science approach aims to make predictions and predictions based on historical data patterns. This is different from traditional data analysis. Using techniques like predictive and prescriptive analytics, machine learning, and predictive analytics, a data scientist is tasked with making sense of both structured and unstructured data. This discipline is often confused with machine learning, which can make developing a data science-training program tricky.

It’s become all too common for data science jobs to be confused with machine learning jobs because algorithms, statistics, and analysis are all part of data science. Data scientists also have a wide range of skills, including machine learning. Machine learning is a process in which datasets are processed through models to refine algorithms and create better results. The benefits of machine learning and these algorithms are used in data science, but not always automatically. A 

Data science training in the Kochi program covers a variety of topics, including business intelligence, architecture, data integration, decision making, visualization, and predictive analytics. If you’re building a data science training program, don’t exclude machine learning courses because they are becoming more popular. Include a variety of data science functions in your data science-training program.

Data Science Courses Focus on Key Skills

You must choose a course that covers both the soft skills and technical understanding necessary to succeed in data science. Among the seemingly endless options, you have when it comes to data science training, these courses and skills can help you get started:

Critical Thinking: Data science is more than putting numbers together and executing algorithms

To solve problems, you must ask great questions and work as a team. A successful data scientist can distinguish himself or herself from those who can simply run systems by understanding problems and communicating new ideas.

 Analyzing and engineering data with coding: Engineering data and analyzing data are two of the most important aspects of data science. The fundamentals of coding are as important as the soft skills in data science classes for success. In particular, Java is essential for data analysis and engineering.

Analyze data to gain valuable insights:

A data science class should not only study Java as a programming language. Python transforms data into business value when it comes to transforming raw data into useful information.

Predictive Analytics and Data Mining: It is vital to have a solid understanding of both predictive analytics and data mining. Most often, these projects involve an extensive collaboration of many data scientists over several weeks. The project needs to be efficiently managed to succeed. It is only by keeping an eye on the overall goal of each project that this can be achieved.

 Data Governance: Data scientists cannot ignore regulatory compliance and security in the age of data breaches. Since data scientists deal with massive amounts of business data, they need to know how to keep that data safe.

Statistics and Mathematics: It is crucial to have a solid understanding of statistics and mathematics to analyze data and apply machine learning. Having a basic understanding of statistics isn’t enough-data scientists need to be experts on the subject. Providing them with coursework that improves statistics skills is one way to achieve this goal.

Providing talent development leaders with the opportunity to learn these fundamental skills can help them deliver value to their companies. However, if you want to put the wheels in motion for an emerging data science department within your organization, you need to take it a little further. Because of a shortage of data scientists, the field is in short supply. Thus, these courses need to be converted into guided data science training programs. 

Features of this Data Science course

Data Science Course features

  • Live Sessions
  • Mocks, Assignments, & Tests
  • Job Assistance
  • 24/7 Lifetime Technical Support
  • 10+ years of experience Proficient
  • Real-time project experience
  • Flexible Timings

Prerequisites

Basic knowledge of Python programming language, SQL, and files (MS Excel, CSV, etc.) with knowledge about algebra and geometry.

Course Duration

40 hours, i.e., 8-9 weeks approx.

Who all can apply for this course?

  • Career switch Developers
  • Candidates willing to start their career in Data Science or data analytics field
  • Machine Learning or Hadoop background developers
  • Data Analysts
  • Business Analysts
Why Data Science course from 3RI?

What roles does a Data Scientist play?

Data Scientist

Develop high-quality applications along with designing and implementing scalable codes.

Analytics and Insights Analyst

Once the data has been investigated for reported errors, develop solutions for fixing quality issues.

AI & ML Engineer

Integrate Machine Learning models into web apps and deploy models in SageMaker by using Lambda functions and API Gateway.

Data Engineer & Data Analyst

Cleaning and transforming the data, analyzing the outcomes, and presenting the insights in reports and dashboards are all part of the process.

Junior Data Scientist

Utilize advanced statistical tools and techniques to analyze operating behavior. Design algorithms that include both prescriptive methods and descriptive methods.

Applied Scientist

Machine Learning models are designed and developed to derive intelligence for business products.

Data Science Course Demand & Future scope

More employers are seeking data science professionals than ever before. Organizations are seeking data-driven insights to maintain their competitiveness, which causes the demand for data scientists to grow. Many companies, including those in the technology industry, consider this skill a “high-demand skill”.

 The number of data scientist openings has been steadily increasing, with more than 3,200 at the end of every month. Big Data is a valuable tool that companies thrive to use to make good business decisions, as they realize its value.

Data Science Professionals are in Demand

 

1. Data management has become a challenge for companies

 

Every day, companies generate staggering amounts of data. In other words, every company now has a mountain of data. However, they are unsure how to use it. This data volume requires people with expertise in Data Science to organize it, analyze it, and draw meaningful insights from it.

2. Lack of skilled resources

Demand for these jobs, especially for Data Scientists, is on the rise, but these professionals are in short supply.” LinkedIn reported in August 2018 that there are more than 150,000 Americans without data science skills. This supply-demand gap will be limited by the number of aspiring data scientists who are entering the job market.

3. Multi-factors are hard to find

Professionals in the field of data science are generally expected to know at least one programming language – Python and R are the most common. As well as having experience with tools like Hadoop, Spark, NoSQL, statistical modeling, machine learning, and programming, data science professionals are expected to have training in these areas as well.

The demand for skills such as SQL, Apache Spark, and relational and NoSQL database systems is high in addition to statistical and machine learning modeling. This skill set is typically hard to find in a single person.

4. Barriers to entry for other professionals

Generally, data scientists have a degree in mathematics, statistics, computer science, engineering, or a related field, but there are also some with degrees in business, economics, or social sciences. It may be difficult for individuals without a foundation in mathematics/computers, but they can upskill themselves by taking online courses.

5. Excellent pay

The salaries for Data Scientists have increased due to the increased demand for the position and other data science jobs. This is currently the highest-paying position within the industry. Data scientists and analysts typically earn more than $62,000 per year in the United States, says Glassdoor.

The experience plays a considerable role in determining the pay in India. It is possible to earn as much as 19 lacs per year with the right skillset. 

6. A Plethora of Roles

An integrated data science course in Kochi combines statistics, machine learning, data analysis, and computer programming. Data Scientists, Data Analysts, Data Architects, Business Analysts, Data Engineers, Database Administrators, Statisticians, Data, and Analytics Managers are in high demand. Among the most sought-after positions in data science are those of data scientists, who earn among the highest salaries. Until you expand the field to include positions like research engineers and machine learning engineers, it may not be wise to bet against data science as a career move in the end.

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Data Science Course Syllabus

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

Module 1: Fundamentals of Statistics & Data Science
  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
Module 2: Python for Data Science
  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. MatPlotLib & Seaborn

  • Basics of Plotting
  • Plots Generation
  • Customization
  • Store Plots

8. SciKit Learn

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

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

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
Module 3: Machine Learning
  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
Module 4: 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

Do you want to book a FREE Demo Session?

Free Career Counselling

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Who can apply for the course?

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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

Want to Book Your Seat?

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.

3RI_Certificate_Format

Data Science Course Certification

Certification Overview

The new driving force behind industries is Data. Even automobile industries are using data to impart independence and develop the safety of their channels. The idea is to create powerful machines that think in the form of data. Enterprises need data to improve their performance, make their business grow, and produce better customer outcomes. In the data science section situation, we took an example of a financial industry that wants to maximize its sales. To accomplish all these duties, a Data Scientist is needed.

Real-world Industry Projects

You can grab the chance to perform real-world industry-based projects held from scratch to the final step. With this, you eventually get experience in:

  • Executing optimized code
  • Hands-on with the situations you come across
  • Managing every issue
  • Decision-making is boosted

With this, you will also have individual mock exams, tests, and interview training sessions given by 3RI Technologies.

What is the validity of the certificate I received after this course and how is it distributed?

Once you are done with the certification course with 3RI Technologies without any gaps or holidays in between – you will receive a certificate that has no expire attached.

What are different sessions directed by this data science preparing foundation ?

With the course study sessions conducted by the instructors, you will have to get the benefits of extra sessions on self-development, exams, tests, mock interviews, and more.

For achieving this certification what are the requirements to meet?

  1. Firstly, attend all the sessions &classes without long gaps.
  2. Go with either option – Online training or Classroom training, i.e., Offline and stick to it.
  3. For Online Training – Attend the classes regularly and submit your project on time.
  4. For Classroom Training – Submit assignments on time, and one project should be completed and submitted after the course is done.

What are the requirements for completing this data science course?

You should attend every session on time, should complete the assignments before deadlines, and submit the projects on time. You should also crack the exam conducted by 3RI after the course completion. As the test marks will be converted into grades and mentioned in the certificate.

What is the span of this data analyst course ?

The approximate duration to comprehensive this course is 2 months. But this does not include the extra training, self-development, and interview enhancement sessions.

What is the real worth of the certificate that I will get?

Learning this course will lead you with hands-on real-time projects, new features and functions, and experience real-time examples and scenarios. Moreover, you will besides, get a chance to deal with the right venture project. And the most significant part of receiving this certification is that all this will be mentioned in it with the grades you score in the complete score. So, eventually, this certificate will be a trump card to use for going for an opportunity you dreamed of.

If I fail on the first attempt, how many times will I be able to give the exam again?

There is no such hard and fast role to follow for appearing to this data science training. And if you attend the classes regularly by doing the assignments on time, then you will clear the exam on go.

What if I fail on the first attempt?

There is nothing to worry about. You can re-appear for the exam by taking help from the instructors to understand the concepts which you find difficult to learn. You can also ask for extra sessions if the concepts are not clear.

Certified Analytics Professional (CAP)

Certified Analytics Professional (CAP)CAP is a merchant impartial certification that looks at your capacity to change complex data into significant experiences and activities. This is the thing organizations are searching for in a data researcher profile, somebody who gets data, can draw applicable results, and convey to fundamental partners why those data focuses are critical. You’ll have to apply and meet explicit rules before you can take the CAP or the partner-level CAP exam. To fit in right for this CAP certification test, you need three years of related insight. On the off chance that you have a done dominates in a connected field, five years of related experience is required. And if you hold a bachelor’s in a related field, seven years of involvement is required. And finally, if you have any degree irrelevant to analytics. To qualify for the CPA exam, you will need a master’s degree and less than three years of relevant data or analytics practice. This certificate is valid only for 3 years.

Cloudera Certified Professional Data Engineer (CCP)

Cloudera advances its Certified Professional Data Engineer certification as quite possibly the most exact and requesting execution-based certifications. The individuals who are concentrating to acquire their CCP Data Engineer certification ought to have top to bottom involvement with data engineering. The test endures four hours, and you need to get at least 70% to pass. The legitimacy of this certification is 3 years.

Cloudera Certified Associate (CCA) Data Analyst

The Cloudera Certified Associate (CCA) Data Analyst certification demonstrates your aptitude as a SQL developer to create reports in Cloudera’s CDH environment using Impala and Hive. SQL developer careers will allow you to draw, design, control, analyze, and achieve data from the source as a data scientist. During the 120-minute exam, you’ll be given eight to twelve customer hitches with a sole data set and a CDH collection. This certification validity is 2 years.

Data Science Council of America (DASCA) Senior Data Scientist (SDS)

The Data Science Council of America (DASCA) Senior Data Scientist (SDS) certification program is intended for specialists with five or more long stretches of examination and investigation information. It is indorsed that students know databases, spreadsheets, statistical analytics, R, quantitative approaches, and OOP’s, and RDBMS basics. You need to pursue at any rate a bachelor’s degree and over five years of involvement with data science to be suitable for each course, while different tracks require a master’s degree or past certifications. This certification authentic is for 5 years.

Data Science Council of America (DASCA) Principal Data Scientist (PDS)

The Data Science Council of America (DASCA) administers the Principal Data Scientist (PDS) certification, which includes three tracks for data science specialists with at least ten years of involvement with enormous data. The test incorporates everything from crucial to cutting-edge data science theories. The test is intended for prepared and successful person Data Science thought and practice pioneers. This certification accompanies no expiry.

Dell EMC Data Science Track (EMCDS)

Dell EMC Data Scientist Track (EMCDS) incorporates two projects — the Data Science Associate v2 (DCS-DS) certification and the Data Science Specialist (DCS-DS) certification. You will cover the establishments of data science and huge data examination at the associate level. When you complete the associate-level program, you can move onto the specialist-level, which covers common language preparing, progressed logical methods, Hadoop, Pig, Hive, and more. This endorsement doesn’t have any lapse appended to it.

IBM Data Science Professional Certificate

IBM Data Science Professional Certificate comprises nine courses in data science, open-source instruments, Python, Databases and SQL, data investigation, data science procedure, data representation, MI, and a last used data science capstone. The course remembers hands-for ventures to help you fabricate a portfolio to exhibit your data science abilities to likely organizations.

Google Professional Data Engineer Certification

The Google Professional Data Engineer certification is most appropriate for those with a central way of thinking of the Google Cloud Platform (GCP) and experience creating and overseeing goals utilizing GCP. The test will test your capacities to configuration, fabricate, secure, and operationalize AI models and data handling frameworks. There is no expiry with this certification.

Microsoft Certified: Azure AI Fundamentals

Microsoft’s Azure AI basics certification authenticates your understanding of MI and AI mind and the way they examine Microsoft Azure services. it’s far a basics exam. It is a remarkable location to start in case you are new to AI or AI on Azure and want to occur your abilities and experience to employers. This certification additionally has no expiry.

Microsoft Certified: Azure Data Scientist Associate

The Azure Data Scientist Associate certification from Microsoft sharpens your ability to apply system studying to execute and run system learning workloads on Azure. applicants for the exam are examined on ML, AI, NLP, laptop vision, and predictive analytics. you may want to be experienced in increasing and managing sources, keeping identities, imposing and dealing with machine learning, and configuring and controlling digital systems. This certification additionally has no expiry.

SAS Certified AI & Machine Learning Professional

The AI and Machine learning professional certification from SAS describe your ability to apply open-supply tools to reap insight from information using AI and analytics professions. The certificates include numerous exams overlaying device studying, language processing, laptop imaginative and prescient, and greater. You need to bypass the SAS licensed specialist tests in device studying, Forecasting and Optimization, natural Language Processing, and computer vision to earn the AI & machine gaining knowledge of professional designation. This certification additionally has no expiry.

SAS Certified Big Data Professional

The SAS Big Data Professional certification comprises two modules with nine developments. You will need to pass two exams to receive the designation. The course consists of SAS programming skills, working with data, improving data quality, communication skills, fundamentals of statistics and analytics, data visualization, and popular data tools, and more. To qualify for this exam, you will need at least six months of programming background in SAS or any other programming language. This certification also has no expiry.

SAS Certified Data Scientist

The SAS Certified Data Scientist certification is a mix of the opposite two data certifications presented via SAS. It consists of programming talents, dealing with and improving information, reworking, gaining access to, manipulating statistics, and operating with famous records visualization gear. after you earn both the big records professional and increase Analytics professional certifications, you can skip making your SAS certified information Scientist designation. you will need to meet all 18 publications and bypass the 5 assessments among the two separate certifications. This certification additionally has no expiry.

Frequently Asked Questions
What is Data Science?

Data science proceeds to come to be one of the most encouraging and in-demand professional paths for proficient specialists. Today, positive information experts remember that they need to propel past the conventional talents of inspecting huge portions of data, data mining, and programming skills. Data scientists should grasp the full spectrum of the data science life cycle and own a stage of flexibility and knowledge to maximize returns at every phase of the technique to expose beneficial facts for their groups.

Why become a Data Scientist?

The data scientist is one of the top leading professionals in any analytics company. In today’s business, Data Scientists are rare and in more demand. As a Data Scientist, you’re required to understand the business question, design a statistics evaluation plan, acquire and format the desired records, observe algorithms or methods using the perfect software or equipment, and make pointers sponsored by way of facts.

Is the Data Science course applicable for the freshers?

Yes, the Data Scientist course is suited for freshers, and this course will help them in getting hands-on publicity to critical technology like Tableau, large information, R, SAS, Python, and Spark.

How to become a data scientist?

This 3RI Technologies Data Scientist course in Noida will give you an insight into Data Science tools and methods, which is enough to serve you to excel in your subsequent role as a Data Scientist. You will earn an industry-recognized certificate from our institute that will be attested with all the technologies you have learned here and add your skills and the grade you achieved in the exam.

Will this data science course cover the whole thing from the basics to the advanced level?

Candidates who do now not have any advanced understanding of the sector can fast start with this data science training in Noida, as you may gain specific information on the simple standards.

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

For registering to this data science 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 Science 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 science course?

The training with 3RI Technologies for the data science 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 science 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 science 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 science 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 science 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 science 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 science a difficult course to understand?

This data science 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 is the future scope of this data science training?

 Some of the top companies in production, technology, software development, IT co-operations, and business method outsourcing call it their home. So, the market for Data scientists is increasing at a blazing velocity.

What are the prerequisites for applying to this course?

3RI Technologies data science program doesn’t expect any prerequisites to start. Our program includes all the basic concepts required to grasp the data science 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 science 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 science course?

The instructors will lead you step-wise on installing the required software needed to learn Data Science 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 Science 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.

What are the objectives involved in this data science training?

The Data Science training comes up intending to meet our student’s expectations of learning the technology. This will, in turn, help our students to evolve from a newbie to a trained expert. All our Data Science classes will be 75% practical tasks and case studies. We will only have 25% of time spend on theory alone. All the concepts will have multiple coding examples taken in class, along with assignments given for practice. You will also be taking case studies that involve various industrial sections like E-commerce, Banking, and more.

The concepts that you will learn during the class are

  • Introduction to Linear Algebra
  • Staring with Statistics
  • Learning about Probability and its distribution
  • Setting up Python environment on personal laptops
  • Basic Python theories
  • Conditional flow in Python
  • Study of libraries like SciPy, NumPy, Panda used for Data Manipulation and Data Analysis
  • Learning the different algorithms used for Machine Learning
  • Examining the basics of Text mining

As a student of our Data Science online training, we will ensure that you understand all the topics to their depth.

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