Data Science 360 Courses

An extensive industry-relevant Data Science course with Placement Assistance!

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  • 500 Hours
  • 46 Classes
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  • Courses details
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  • Upcoming batches
    • 18Jun

      Noida

    • 02Jul

      Bangalore

    • 09Jul

      Gurgaon

    Learning Modes
    class

    Fully Interactive Online/
    Offline Classroom

    INR 52000*/-
    play

    Self-Paced Blended
    eLearning

    INR 40000*/-
    Courses
    Projects: 10
    ₹ 20000*/-

    Data Science using R

    • 124 hours
    • 18 Classes
    • Classroom
    • Online
    • eLearning
    Courses
    Projects: 12
    ₹ 25000*/-

    Analytics Edge

    • 220 hours
    • 26 Classes
    • Classroom
    • Online
    • eLearning
    Courses
    Projects: 10
    ₹ 20000*/-

    Business Analytics 360

    • 124 hours
    • 18 Classes
    • Classroom
    • Online
    • eLearning
    Courses
    Projects: 10
    ₹ 20000*/-

    Data Science with Python

    • 124 hours
    • 18 Classes
    • Classroom
    • Online
    • eLearning
    date

    No of classes X Hours

    46 x 3 = 138 hrs
    + 74 hrs e-learning

    study

    Self Study Hours

    260 (8-10 hrs/ week)

    18

    Assignments & Projects
    recruitment

    Placement Readiness Program

    40 Hours
    (towards course completion)

    In today’s technological world, Data Science is the market's demand. As organizations increasingly prioritize data-driven decision-making in their pursuit of digital transformation, the demand for adept data scientists continues to soar. Take part in our data science specialization course: Data Science 360 program—a globally recognized certification that seamlessly integrates theoretical knowledge with hands-on practice. Boost your data science knowledge and establish yourself as a highly sought-after professional in the dynamic and demanding workplace of today.

    Experience learning in a way where education is being imparted by the top educators in the industry. The Data Science Specialization Course that we offer has been curated by experts in this particular industry. Learners are offered cutting-edge learning tools with practical, hands-on applications, ensuring that they are ready to tackle the real-world challenges of the IT industry. Students will be able to get the best skills needed to conquer the stream of Data Science. Enroll in our Data Science Specialization Course to gain an in-depth understanding of subjects like descriptive analytics, machine learning, data visualization, and predictive modeling.

     

    Select between the Classroom and Bootcamp training options before starting your course with us. We take pride in the recognition accorded to our program, as it stands rated among the elite certifications by esteemed publications such as AIM and Higher Education Review.

    Explore all about Specialization in Data Science courses made for learners without a programming background, yet aspiring to gain practical, job-oriented skills. After finishing, you'll be prepared to put into practice solid data science solutions that can handle the data management requirements of any organization ensuring you ace at making the correct business decisions.

    The course curriculum commences with an introduction to the Building Blocks of Data Science, encompassing foundational concepts and basic programming elements. Once we move on to Data Visualization and Analytics (with Excel, SQL, and PowerBi), we explore data extraction, manipulation, reporting, analysis, and the development of user-friendly corporate dashboards. The interactive segment featuring R for Data Science follows, guiding you through the application of R in databases, data import/export, analysis, and visualization using business case studies.

    Subsequently, the Data Science Specialization Course unfolds in two stages for Python for Data Science. The first stage covers core Python, NumPy, and Pandas for data analysis, while the second stage delves into advanced data visualization using sought-after Python libraries. You go smoothly into Machine Learning and Predictive Modeling, which include supervised and unsupervised learning. As we proceed, we'll be concentrating on text mining and how it applies to natural language processing (NLP).

    The learning process is completed with a full-day Industrial and Functional class. The industrial segment provides insights into project management, risk analysis, digital and social network analysis, and operational analysis. Functionally speaking, you learn about a wide range of industries, including telecom and networks, pharmacy and healthcare, retail and e-commerce, banking and financial services, and retail.

    • Foundation Module
        • A thorough exploration of the bridge course and analytics software.
        • A strong foundation in data science is built.
        • The curriculum includes basic Excel for essential spreadsheet skills.
        • Seamless transition into RDBMS and SQL fundamentals for database querying.
        • Deeper understanding of analytics and data science realms.
        • Delve into Fundamental Programming Concepts.
        • Sharpen data analysis skills with basic statistics.
        • Establish a solid understanding of mathematical foundations.
    • Data Analytics with Excel
        • Quick overview of the fundamentals of Excel.
        • Practical knowledge of manipulating data via functions.
        • Proficiency in data analysis and reporting techniques.
        • Expertise in Data Visualization using Excel.
        • In-depth exploration of Dashboards.
        • Practical guidance on creating dashboards in Excel, leveraging Pivot controls.
        • Specialized emphasis on the creation of business dashboards.
        • Unlock the power of Data Analytics with Excel through our comprehensive course modules.
    • Data Analytics with SQL
        • A quick study of the fundamentals of RDBMS and basic SQL.
        • Mastery in creating data-based objects with DDL Commands.
        • Skillful data manipulation using DML Commands.
        • Proficiency in accessing data from Multiple Tables using SELECT.
        • Advanced SQL techniques for a deeper understanding.
        • Utilizing newly learned skills through practical business case studies.
    • Data Visualization and Analytics with PowerBi
        • Overview of Visual Basic for Applications (VBA).
        • Exploring the synergy between VBA and Excel.
        • Dissecting the essential elements of the programming language.
        • A comprehensive look at commonly used code snippets.
        • Understanding programming constructs in VBA.
        • Effective function and procedure utilization for program modularization.
        • Navigating objects & memory management in VBA.
        • Learning how to handle errors.
        • Controlling code accessibility through access specifiers.
        • Enhancing Code reusability by adding references and components.
        • Effective communication with users through VBA applications.
    • Data Analytics using VBA (e-learning)
          • Overview of Visual Basic for Applications (VBA).
          • Exploring the synergy between VBA and Excel.
          • Dissecting the essential elements of the programming language.
          • A comprehensive look at commonly used code snippets.
          • Understanding programming constructs in VBA.
          • Effective function and procedure utilization for program modularization.
          • Navigating objects & memory management in VBA.
          • Learning how to handle errors.
          • Controlling code accessibility through access specifiers.
          • Enhancing Code reusability by adding references and components.
          • Effective communication with users through VBA applications.
    • R for Data Science
        • Efficient data importing and exporting techniques.
        • Learning R data manipulation techniques.
        • In-depth Data Analysis using R's capabilities.
        • Integration of R with databases for smooth data handling.
        • Data Visualization techniques using R's robust tools.
        • An introduction to statistics for basic knowledge.
        • Delving into predictive modeling with R.
        • Supervised learning focusing on regression problems with OLS regression.
        • Supervised learning addressing classification problems using logistic regression.
        • Overview of machine learning principles.
        • Further exploration of supervised Learning with regression and classification problems.
        • Uncovering unsupervised learning techniques through segmentation.
        • Taking a closer look at time series forecasting.
    • Python for Data Science
        • Learn Python essentials (Core) to lay a solid basis.
        • Perform operations with NumPy (Numerical Python) for numerical data manipulation.
        • Learn the basics of Pandas to handle data efficiently.
        • Harness the power of Python for data cleansing.
        • Dive into data analysis using Python's versatile capabilities.
        • Discover the possibilities of data visualization using Python and investigate simple visualization tools for powerful presentations.
        • Apply statistical methods and hypothesis testing for data-driven insights.
    • Predictive Modeling and Machine Learning
    • Text Mining using NLP
        • Gain a comprehensive introduction to Text Mining principles.
        • Explore text Processing using NLTK and sklearn modules, among others.
        • Initiate data processing with simple statistical tools for preliminary insights.
        • Advance to more sophisticated data processing and visualization strategies.
        • Explore the intersection of text mining and predictive modeling for informed analysis.
    • Get introduced to AI, Deep Learning, and Cloud Computing
    • ML Ops and Model Development
        • Gain a comprehensive introduction to ML Ops.
        • Examine how to deploy ML models on the cloud seamlessly.
    • Understanding different domains (industrial and functional)
        • Become more knowledgeable about business problems.
        • Dive into insightful industry & functional sessions.
        • Gain expertise in marketing analytics.
        • Investigate the nuances of risk analytics.
        • Navigate through operations analytics for efficiency.
        • Take a deep dive into digital analytics, particularly web analytics.
    • Placement Readiness Program
        • Sharpen your CV with expert guidance and sessions.
        • Create a standout profile on platforms like Kaggle and GitHub.
        • Use mock interviews to hone your interviewing techniques.
        • Focus on effective communication and behavioral fit in personal interviews.
        • Respond to technical interviews using data science principles.
        • Participate in placement days, both actual and practice runs.
        • Demonstrate your skills in technical tests, including MCQs and hiring projects/case studies.
        • Display your proficiency with case study presentations.
        • Gain valuable insights through interviews with industry experts.
        • Become more adept at problem-solving and analytics.
        • Optimize your profile on job portals such as LinkedIn, Naukri, Indeed, IIMJobs, etc.

    Our Data Science Specialization Course is open to a variety of students with quantitative backgrounds, including engineering, finance, mathematics, and business management.

      • Data Analyst
      • Analytics Consultant
      • Business Analyst
      • BI Analyst (Business Intelligence Analyst)
      • Data Science Specialist
      • Statistical Analyst
      • Data Science Consultant
      • Data Scientist
      • Machine Learning Specialist
      • MIS Reporting Analytics
      • Proficient Data Visualization techniques
      • Mastery in Data Blending & Manipulation
      • Skillful Data Mining & Analysis
      • Application of R Programming for Data Insights
      • Statistical Analysis & Modelling proficiency
      • Expertise in Predictive Modelling
      • Implementing Supervised Machine Learning
      • Exploring Unsupervised Machine Learning Methods
      • Harnessing Text Mining & Natural Language Processing (NLP)
      • Utilizing Python for Data Analysis
      • Application of Statistical Analysis in Practical Scenarios
      • In-depth understanding of Data Science Methods
      • Implementation of Supervised Learning Models
      • Application of Unsupervised Learning Models
      • Reporting Analytics for Effective Communication
      • Machine Learning Modelling for predictive analysis

      Engage in practical application and skill development through our Data Science 360 Courses with a diverse array of Capstone Projects:

      Assignments :
      • 2 exercises focusing on statistical analysis
      • 4 case studies involving Pandas for data munging, descriptive, and visual analysis
      • 3 Basic exercises covering Excel, SQL, and Tableau
      • 1 Assignment centered on basic Python
      • 3 Analytics case studies utilizing R
      • 10 short exercises dedicated to NumPy & Pandas
      Projects :
      • Network Intrusion Detection (Supervised Machine Learning)
      • E-commerce Recommendation Engine (MBA)
      • Bank Reviews Analysis (Text Mining & NLP)
      • Telecom Churn Prediction (Classification & Machine Learning)
      • Banking Customer Clustering (Unsupervised Machine Learning)
      • Retail Chain Sales Forecasting (Multivariate Time Series)
      • Online Job Posting Analysis (Text Mining & NLP)
      • Marketing & Sales Data Manipulation and Analysis
      • Consumer Electronics Pricing Data Analysis & Visualization
      • Airlines Data Analysis and Reporting
      • Sports Equipment Retail Data Analysis and Visualization
      • Peer Group Lending Analysis & Prediction (Regression Methods)
      • Predicting Credit Card Spend (Regression Methods)
      • Sports Event Analysis and Reporting
      live
      Interactive Live online

      Participate in expert-led live online sessions from any location. These fully interactive sessions provide real-time discussions and Q&A opportunities, ensuring a dynamic and engaging learning experience.

      bootcamp
      Classroom & Bootcamp

      Get hands-on experience under the guidance of live mentors. To improve your practical abilities, choose between classroom boot camps on the weekends and during the week.

      play
      Self-paced eLearning

      Participate in e-learning video sessions that are available for viewing on demand via your learning management system. Make use of in-person conversations, online forums, or email support for a wide range of doubts.

      Ai Campus, recognized as India's premier IT training institute, has an immense deal of influence in this domain. We have taught and shaped lives not just in India but overseas as well, introducing learners and working professionals to streams like data science, artificial intelligence, etc. To ensure that we continue to hold this influence while providing quality education we have a specific procedure for certification. Take a look at the process of getting certified:

      • Only after the completion and comprehensive assessment of the course's mandatory project work is the global certification granted to the learners.
      • Unlike traditional pass/fail assessments, our assignments and projects are meant to be a learning process.
      • In order to ensure a positive learning environment, students can ask for help when they need it.
      • To ensure a positive learning environment, students can ask for help when they need it.
      • The only thing to keep in mind is that we do not appreciate any form of plagiarism or cheating.
      • Apart from multiple-choice questions, there are no hard and fast rules for projects and assignments.
      data-science-360

      Select the course you want to Enroll:

      liveWeekend Batches

      Amount: ₹52,000 + taxes

      Key Features :

      • You can spread out the cost over up to three installments to provide yourself with financial flexibility.
      • Get reasonable EMIs with student loans.
      • Get access to the most recent, industry-relevant content, providing 500 hours of in-depth education.
      • Extensive doubt support via mail, online forums, or in-person interactions.
      • Enjoy the benefits of 100% placement assistance where you will be prepared for the IT job market. Multiple mock interviews, project portfolio, doubt clarification, and overall personality development.

      bootcamp Weekday Bootcamp

      Amount: ₹58,000 + taxes

      Key Features :

      • During the week, participate in in-person mentoring to gain practical experience and hands-on learning.
      • Master in-demand data science and analytics skills with a curriculum made for industry requirements.
      • Enjoy flexibility with a choice between classroom and online learning modes.
      • Gain practical experience through real-world projects and case studies integrated into the extensive curriculum, all at an affordable price with easy EMI options.
      • Secure an internship opportunity and benefit from mentorship sessions.

      play Self-paced Blended Program

      Amount: ₹ 40,000 + taxes

      Key features :

      • A learning management system is provided in which students can benefit from on-demand videos of the syllabus.
      • Student loans are available and affordable EMIs where the return on investment is high.
      • Access the latest industry-relevant content, offering 500 hours of comprehensive learning.
      • In-depth assistance with your doubts through mail, internet forums, or face-to-face conversations.
      profile

      Profile Building

      Take advantage of individualized assistance from a group of experienced specialists in creating your online presence and resume. As per your educational background and experience, this helps guarantee a polished and powerful portrayal of your skills and achievements.

      interview

      Interview Preparation

      Get professional advice on career development assignments and, if necessary, participate in practice interviews to polish your abilities and increase your self-assurance for the real thing.

      jobpreperation

      Job Referrals

      While we prepare you for the jobs we also bring you closer to the companies you can interview at. Access diverse job opportunities through our extensive network. We receive various job requirements from organizations, clients, and HR consultants across different companies.

      support

      Continuous Support

      Get continuous support from our faculty and counselors for as long as you need it. Most of the students are conflicted about the assistance system, with Ai Campus you get to rely on people for as long as you need.

      • 02Jul

        Bangalore

      • 09Jul

        Gurgaon

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      FAQ

      Frequently asked question

      • What can taking a course in data analytics accomplish for my career?

        You can start along the road to becoming a successful data analyst across several disciplines by enrolling in a well-designed data analytics course. Over the past ten years, the demand for data specialists has increased tremendously across industries, and getting training in data analytics is one of the greatest ways to keep up.

        Be it analyzing a sporting event or detecting early-stage cancer; a data analyst has a role in everything. The scope of data analytics as a discipline has been growing since its inception. Every task, every process, every little gadget connected to the internet produces data that can be turned into vital information. The newfound utility of data has increased the importance of analytics and data science in India by manifolds. Therefore, a reputed data analytics certification course in India can boost your career to get a flying start in the industry.

      • What distinguishes a data science course from an analytics course?

        A subset of data science called data analytics has a much narrower field of study. You can learn how to handle data collecting, cleansing, and organisation as well as descriptive and predictive data analysis through a data analytics certification training programme.

        Finding patterns in data, posing pertinent questions, and setting up machine learning algorithms to provide answers are the main objectives of a data science training course. Depending on your experience, knowledge, and, of course, the mentors at Ai campus' expert advice, you can select a course.

        Data science and data analytics careers can take many different forms. For instance, the business analytics 360 course will assist you in starting from scratch to become a business analyst. You can increase your understanding of algorithms and predictive modelling with the aid of a machine learning course. For each of them, Ai campus offers the top data analytics education in Bangalore, Noida, and Delhi.

      • What does the professional transition look like after data science training?

        Since data science is a broad field, it is challenging to provide a definitive response. Nevertheless, we may consider some real-world situations that our alumni have encountered. To confirm their claims, look them up on LinkedIn.

        After receiving training from Ai Campus, we transformed from a leader in the manufacturing industry into a global data science pioneer. Aggarwal's learning curve was very easy for a non-programmer. He was able to devote a sufficient amount of time to practising programming while still paying attention to other important factors thanks to the course's carefully planned framework. His development was quick, focused, and successful. He is currently making contributions to analytics and customer data science.

        The journey taken by Archish Rai Kapil from history graduate to data analyst at Air India is pretty inspiring. He began with advanced Excel expertise and accumulated certifications in a variety of analytics technologies. His lack of CS experience never got in the way, and Archish graciously gives Ai Campus some of the credit for providing him with "just what he needed."

        These two examples were chosen from a long list with the intent of demonstrating that anyone can make the transition to data science and highlighting the fact that active professionals can, with a little extra effort, obtain a certification in data analytics and do so successfully.

      • What distinguishes Ai Campus as a data analytics institute?

        In order to offer IT/ITES professionals a comprehensive range of data science training programmes, Ai Campus was founded in 2011. There are numerous organisations operating with a broadly comparable objective in mind. Ai Campus has become a trusted reputation over the past ten years by acting in specific ways correctly.

        The mission of Ai Campus is to empower young people in India to take advantage of opportunities in the future. The finest data science institute in India, according to Analytics India Magazine, is Ai Campus.

      • What is the most effective data analytics training programme?

        Again, this is a highly ambiguous question. When you say "getting started," what do you mean? What potential careers have you thought about? What country are you from? Before addressing the original question, all of these extra questions must be addressed.

        Despite this, newcomers frequently enrol in the Data Science 360 course and the Business Analytics 360 course. Yes, you can explore the website to get a list of all the certification courses. You can get assistance with this kind of pathfinding from the mentors at Ai Campus.

        Choosing a course that meets your professional goals and moves you closer to your objective or dream job is the overall notion. The subjects of data science and analytics are complex and multifaceted. Due to their extensive industry experience, the knowledgeable instructors and mentors at Ai Campus can assist you in seeing clearly.

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