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Data Science 360 Analytixlab Review (and more)

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Analytixlabs 360 Data Science Review

Data Science 360 Analytixlab Review, Placements and More

Analytixlabs 360 Data Science Review Details
Course offered Data Science 360 Course and More
Stream Data Science & Analytics
Duration Depend upon the course
Fee of course (INR) Up to 48,000 depending upon the course
Accreditation No
Entrance exam No
Work ex required Candidates with valid work experience will have an upper hand (not mandatory)
Eligibility Quantitative backgrounds such as Maths, Engineering, Business Management, and Finance
Admission Help Click here

Quick Links for Reference


Studying at Analytixlabs is the ultimate desire for every data enthusiast. The institution offers professional courses that are tailor-made to suit the market needs. It has hybrid systems that guarantee flexible learning approaches ideal for working professionals. Enrolling in 360 Analytixlabs programmes will revolutionize your data science career.

Why Analytixlabs?

Analytixlabs is the number one data science institution in India. Students will have the following benefits:

  • Profile Building. A team of professionals helps students to build their online portfolio and write CVs
  • Interview Preparation. The institution organizes regular mock interviews to equip students with necessary interview skill sets.
  • Job Referrals. Analytixlabs has a large pool of professionals, alumni, and organizations that offer their graduates job opportunities.
  • Continuous Peer Support. Analytixlabs offers support to its graduates even after convocation.
  • Analytixlabs Assurance. The Applied AI programme has a job guarantee or money-back assurance. Graduates get a full refund if they fail to get a qualifying position within 6 months after convocation.

Courses Offered at 360 Analytixlabs 

1. Data Science 360 Course

Course Objectives 

This programme has an all-inclusive syllabus that introduces participants to building blocks of data science, basic programming techniques, and statistical tools.

It utilizes a hands-on training approach where students attend extensive industrial and functional sessions. They also learn to analyze and format data using tools such as Excel, Tableau, SQL, R, and Python.

Course Duration:  500 hours/ 46 classes

Type of Course/ Medium: Live/E-Learning/ Self-Paced

Programme Curriculum

The curriculum covers various aspects of data visualization & analytics, data extraction & manipulation, data reporting, and building intuitive business dashboards.

To achieve this, students will utilize Python for Data Science (Pandas, NumPy, and Python), Predictive Modeling & Machine Learning, Natural Language Processing, and Industrial Sessions. Here’s a breakdown of the curriculum:

Module  Courses
Data Visualisation and Analytics
  • Building Blocks
  • Data Analytics with SQL
  • Data Analytics with Excel
  • Data Analytics with VBA (e-learning)
  • Data Visualisation and Analytics with Tableau
R & Python for Data Science
  • R for Data Science (data importing/exporting, manipulation, linear regression, data visualization, etc.
  • Python for Data Science
Machine Learning and Text Mining
  • Predictive Modeling with Python
  • Machine Learning with Python
  • Text Mining using NLP
AI and Cloud Computing
  • Introduction to Google Colab
  • Introduction to Artificial Intelligence (AI)
  • Introduction to Deep Learning
  • Introduction to Cloud Computing
  • Artificial Neural Network
  • Industrial and Functional Sessions (Domain Understanding)

At the end of every module, students will be required to undertake projects, examinations, and tests to evaluate their understanding.

Each course comprises several topics tailor-made to enable students to relate course work with the actual job market. It consists of numerous case studies and test assignments to resolve existing problems in the industry.

2. Full Stack Applied Al Course

Course Objectives 

This programme is designed to help students develop their Machine Learning and Neural Networks powered by AI applications. They acquire Data Science, Machine Learning, and Deep Learning skills that help them to solve existing industrial problems. It is tailor-made for practical applications to propel the data analytics career of the participants.

Course Duration:  400 hours/ 50 classes

Type of Course/ Medium: Live/E-Learning/ Self-Paced

Programme Curriculum

The programme curriculum covers essential statistical concepts, data extraction, supervised & unsupervised machine learning, wrangling, and deep learning techniques.

It integrates the basics of data science and analytics to ensure that participants apply their knowledge in scientific data making processes. The programme has several modules as shown below:

Module  Courses
Python for Data Science
  • Building Blocks
  • Visualizing Geospatial Data
  • Python Essentials (Core )
  • Operations with NumPy
  • Overview of Pandas
  • Cleansing Data, Data Analysis, and Data Visualisation with Python
  • Visualization Tools
  • Statistical Methods and Hypotheses Testing
Predictive Modeling & Machine Learning
  • Predictive Modeling with Python
  • Machine Learning with Python
Text Mining using NLP
  • Introduction to Test Mining
  • Text Processing with Modules like  NLTK, Sklearn
  • Initial Data Processing and Simple Statistical Tools
  • Advanced-Data Processing and Visualisation
  • Text Mining – Predictive Modeling
AI & Cloud Computing
  • Introduction to AI, Deep Learning, and Cloud Computing
  • Computer Vision Application
  • Neural Networks
  • Unsupervised Learning, Auto Encoders, Accelerating DL
  • Industrial and Functional Sessions (Domain Understanding)
  • Text Mining and Language Modules using Deep Learning

3. Advance Big Data Science

Course Objectives 

This programme equips students with skills on how to use statistical tools such as Python, SQL, R, Tableau, and Excel. It incorporates data-making science, communication skills, and data presentation techniques. Its all-inclusive curriculum ensures that participants can identify and solve problems using scientific approaches.

Course Duration:  500 hours/46 classes

Type of Course/ Medium: Live/E-Learning/ Self-Paced

Programme Curriculum

The programme includes 4 modules with several courses spread through 46 classes. Students are required to attend approximately 500 hours where they comprehensively cover statistical analysis tools and techniques.

Additionally, students will be engaged in industrial immersions and intensive case study analysis to enable them to get hands-on experience in problem resolution.

4. Business Analytics 360 Course

Course Objectives 

This is a certification programme designed to equip students with data visualisation, MIS reporting analytics, predictive modelling, data mining & analysis, data blending & manipulation, statistical analysis, and reporting.

They will be trained on how to apply R, Python, and Tableau to analyse data and present it in an easy-to-understand version.

Course Duration:  360 hours/33 classes

Type of Course/ Medium: Live/E-Learning/ Self-Paced

Programme Curriculum

Module Course
Data Visualisation and Analytics
  • Building Blocks
  • Data Analytics and Visualisation with Excel
  • Data Analytics with SQL
  • Data Analytics and Visualisation with Tableau
  • Data Analytics with VBA (e-Learning)
R for Data Science
  • Data Importation/ Exportation, manipulation, analysis, and visualization
  • Dimensionality Reduction & Collaborative Filtering
  • Using R with Databases
  • Linear Regression
  • Introduction to Statistics
  • Supervised vs Unsupervised Learning
  • Machine Learning vs Statistical Modeling
Python for Data Science
  • Python Essentials (Core)
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing Data, Data Analysis, and Data Visualisation with Python
  • Basic & Advanced Visualisation Tools
  • Visualization Geospatial Data
  • Statistical Methods and Hypothesis Testing
Predictive Modeling and Introduction to ML
  • Introduction to Predictive Modeling and ML
  • Linear Regression: Solving Linear Regression Problems
  • Logistic Regression: Solving Classification Problems
  • Industrial and Functional Sessions (Domain Understanding)

Admission Process

  • Prospective candidates will be required to apply online through the institution’s official website.
  • Candidates must submit the duly completed application form (together with attested copies of academic and identification documents) before the stipulated deadline.
  • Qualified candidates will then be required to deposit the first installment of the programme fee.
  • Upon registration, candidates will receive the programme syllabus, start date, and commencement date through the email details/phone number provided during the application.


The programmes are delivered using three main approaches: Self-Paced E-Learning, Classroom & Bootcamp, and Interactive Live Learning. Students will have access to all e-learning materials by logging in to their portals. Additionally, students will be involved in immersive capstone projects, assignments, and assessments. Classroom mode is available at Gurgaon, Noida, and Bangalore campuses.


  • Prospective candidates must have quantitative backgrounds such as Maths, Engineering, Business Management, and Finance
  • Candidates must have an interest in data and business management
  • Candidates interested in Applied AI courses must have an interest in Machine Learning, advanced analytics, and AI.
  • Candidates with valid work experience will have an upper hand (not mandatory)

Fee Structure

Programme  Fee
Data Science 360 Course INR 42,000/-
Full Stack Applied All Course INR 48,000/-
Advance Big Data Science INR 48,000/-
Business Analytics 360 Course INR 32,000/-

Placement Assistance

Analytixlabs offer placement assistance to all qualifying students. It offers continuous guidance to students, conducts mock interviews, and trains them on effective CV writing skills. Students get job opportunities at organizations such as Ernst & Young, Genpact, HBSC, Deloitte, Fidelity Investments, JP Morgan, and Facebook.

Job Prospects

Graduates can take up roles such as Analytics Consultants, MIS Analyst, Statistical Analyst, Data Scientist, Data visualization Analyst, Business Analyst, Data Analysts, Machine Learning Specialist, AI ML Specialists, and Data Science Consultant. The average entry salary for graduates ranges between 8 and 12 Lakhs annually.

Recognition for 360 Analytixlabs

Analytixlabs is recognized as the pioneer data science institute in India. It has an endorsement from various organizations such as Accenture, AbsolutData, Bank of America, American Express, Axtria, and McKinsey.

Student Testimonials

“Analytixlabs helps to experience Big data analytic’s course which can give an excellent introduction to the data analytics. One of the best institutes to enroll in for the analytic’s course.” Amit Gupta (Senior Manager – Data Analytics (Head for CXO Analytics, Asia Service Centre), Sun Life Financial)
If you have any questions, please ask us here – we answer every single query of students. 

360 Analytixlabs Quora

Analytixlabs is one of the best data analytics training institutes. It has several programmes, aimed at equipping students on the best data analysis practices. Its topical relevance has made it one of the most searched institutions on Quora.

This article elaborates on all the details about both short modules and long-duration courses offered by 360 Analytixlabs. It evaluates the delivery method, fee structure, and eligibility criteria.

Analytixlabs 360 Data Science Quora

Contact Details

  • Official Website:
  • State: Gurugram, Haryana, India
  • Prospectus Link: Click here for the prospectus link.

Other Courses Offered at 360 Analytixlabs

Other Courses Offered at 360 Analytixlabs Details
Data Science Using R
  • Delivery: Classroom/Online/e-Learning
  • Hours: 124 hours/18 classes
  • Fee: INR 20,000/- onwards
Analytics Edge
  • Delivery: Classroom/Online/e-Learning
  • Hours: 220 hours/26 classes
  • Fee: INR 25,000/- onwards
Certified Big Data Course
  • Delivery: Classroom/Online/e-Learning
  • Hours:240 hours/42 classes
  • Fee: INR 35,000/- onwards
Data Science with Python
  • Delivery: Classroom/Online/e-Learning
  • Hours:130 hours/20 classes
  • Fee: INR 20,000/- onwards
Machine Learning Course
  • Delivery: Classroom/Online/e-Learning
  • Hours: 110 hours/16 classes
  • Fee: INR 20,000/- onwards
Deep Learning with Python
  • Delivery: Classroom/Online/e-Learning
  • Hours: 130 hours/ 20 classes
  • Fee:  INR 25,000/- onwards
Data Visualization and Analytics
  • Delivery: Classroom/Online/e-Learning
  • Hours: 120 hours/12 classes
  • Fee:  INR 16,000/- onwards
Artificial Intelligence Engineering
  • Delivery: Classroom/Online/e-Learning
  • Hours: 210 hours/30 classes
  • Fee: INR 35,000/- onwards

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