1. Home
  2. Data Analytics
  3. Data Science Essentials

Course Provider

Data Science Essentials

Course highlights:

  • Each of these courses are carefully curated, designed & developed to keep the content and curriculum industry relevant. The courses endeavor to help train aspirants in areas like Analytics, Data Science, Machine Learning, and AI. The content, design and pedagogy approach are aligned towards skill building in learners and revolves around the following:
  • Ensure the learner becomes ‘industry ready’ on completing the course. The courses can also be approached with a re-skilling approach to quickly become productive.
  • Ensure employability for students to work in the industry and understand the context.
  • Ensure that foundation skills in mathematics and probability are taught as we believe that strong foundation skills are essential to master data science.
  • Ensure that foundation skills in problem-solving, critical thinking and questioning are taught.
  • Practical Skill Building: We emphasize our hands-on approach to training, ensuring that students gain practical, real-world skills that are directly applicable to the data science industry. Our focus is not just on theory but on equipping students with the tools and techniques needed to excel in the field.
  • Competency Development: Our comprehensive curriculum is designed to develop competencies across all areas of data science, including statistical analysis, machine learning, data visualization, and programming. We aim to produce well-rounded data scientists who are proficient in both technical and analytical aspects.
  • Employability Focus: We have a decent track record of preparing students for successful careers in data science. Through industry-aligned projects, internships, and career guidance, we ensure that our graduates are not only skilled but also highly employable in today's competitive job market.
  • Industry-Relevant Training: We have a very strong Academic Advisory Board comprising of Industry leaders and top academicians. Our partnerships with industry leaders and experts, ensures that our curriculum remains up to date with the latest trends and technologies in the field of data science. This industry relevance gives our students a competitive edge when entering the workforce.
  • Personalized Learning Experience: We understand that every student has unique learning needs, and we tailor our programs accordingly to ensure their success.
  • By focusing on these key aspects, Bhrighu aims to be positioned as a premier destination for aspiring data scientists who are serious about building successful careers in the field. Our commitment to practical skill building, competency development, and employability sets us apart and ensures that our graduates are well-prepared to make a meaningful impact in the world of data science.
  • Job roles aligned - Data Quality Analyst, Business Intelligence Analyst, Data Scientist

What will you learn in this Data Science Essentials Course?

  • Learn about the latest AI trends like Generative AI, Prompt Engineering, ChatGPT and many more.
  • Understand the meaning, purpose, scope, stages, applications and effects of AI and ML.
  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, hypothesis building and testing.
  • Perform scientific and technical computing using the SciPy package and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave
  • Gain expertise in mathematical computing using the NumPy and scikit- learn packages.
  • Master the concepts of supervised and unsupervised learning, recommendation engines and time series modeling.
  • Validate Machine Learning models and decode various accuracy metrics. Understand Deep learning and its applications.
  • Comprehend neural networks and traverse the layers of data abstraction.
  • Perform distributed and parallel computing using high performance GPUs.
  • Understand the fundamentals of Natural Language Processing (NLP) using the most popular library, Python Natural Language Toolkit (NLTK).
  • Learn how to apply Machine Learning and Deep Learning to NLP.
  • Perform text-to-speech conversion with automated speech recognition.
  • Use Python and TensorFlow to understand reinforcement learning theory.
  • Learn how to solve reinforcement learning problems through a variety of strategies.

Data Science Essentials

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Big Data Analytics
  • course-category-icon Course Category
    Deepskilling Course
  • certified-earned-icon Certificate Earned Joint Co-Branded Participation Certificate
  • ssc-assesment-icon Nasscom Assessment Available
  • course-covered-icon Course Covered under GoI Incentive
    No
    • Course Price
      INR 45,000
       INR 23,500
      till 30-Oct-24
    • duration-white-icon Course Duration
      350 Hours
Apply Now

Why should you take this Data Science Essentials Course?

  • The National Educational Policy [NEP] places a strong emphasis on multidisciplinary learning. NEP allows educational institutions freedom for integrating diverse perspectives and providing hands-on experiences with new-age tools and ensure that students develop well-rounded skills set that aligns with the evolving demands of the job market.
  • As industries increasingly rely on Artificial Intelligence [AI] and Machine Learning [ML], professionals equipped with the practical skills gained in these technologies are well-positioned to meet the demands of the modern workplace.
  • Bhrigu Academy of E-Learning offers courses that bridge the gap between education and employability. They also offer data science certification empowering learners to navigate the digital era with confidence and contribute meaningfully to the workforce of tomorrow.
  • Bhrigu follows a holistic learning pedagogy that includes a blend of live training from industry experts, self-paced videos, hands-on projects, labs. The classes are taught by Faculty who come with the right mix of teaching+ industry + research experience.

Who should take this Data Science Essentials Course?

  • Engineering students with IT/ CS / Electronics / Mechanical specialization
  • BCA / BSC with IT / Electronics
  • BBM / BCOM
  • BHM
  • Diploma from a Polytechnic and specializing in IT/ CS / Electronics / Mechanical / Electrical / Civil
  • MTech
  • MBA / MCA / MSc
  • Students who are aware of the growing significance of Artificial Intelligence (AI), and Machine Learning technologies in the corporate landscape
  • Those who desire to bridge the gap between theory and practical application.
  • Students who wish to learn latest tools and techniques and gain competencies.
  • Fresher’s who aim to be competitive and job-ready through specialized education.
  • Those who seek training that aligns their academic pursuits and enhances their employability in the dynamic job market.

Curriculum

  • Foundational Modules Electives –
    • Introduction to Data Science
    • Data Wrangling and Cleaning
    • Exploratory Data Analysis
    • Statistical Analysis for Data Science
    • Machine Learning Fundamentals
    • Supervised Learning Algorithms (e.g., Regression, Classification)
    • Unsupervised Learning Algorithms (e.g., Clustering, Dimensionality Reduction)
    • Data Visualization and Communication
    • Big Data Analytics and Technologies
    • Deep Learning and Neural Networks
    • Model Evaluation and Performance Metrics
    • Feature Engineering and Selection
    • Natural Language Processing
    • Time Series Analysis
    • Ethics and Responsible Data Science Practices
  • Advanced Deep Learning Techniques –
    • Reinforcement Learning
    • Recommendation Systems
    • Image and Video Analytics
    • Anomaly Detection
    • Text Mining and Sentiment Analysis
    • Geospatial Data Analysis
    • Social Network Analysis
    • Web Scraping and Data Collection
    • Data Engineering and ETL (Extract, Transform, Load) Processes
    • Bayesian Methods in Data Science
    • Financial Analytics and Fraud Detection
    • Healthcare Analytics
    • Customer Segmentation and Personalization
    • Predictive Maintenance

Tools you will learn in this Data Science Essentials Course

  • Advanced excel.
  • R & Python Programing.
  • DS/ML/DL/AI Packages.
  • Numpy
  • Scipy
  • Pandas
  • Scikit-team
  • Tensorflow
  • Keras
  • NLTK
  • Gensim
  • SpaCy
  • CoreNLP
  • OpenCV
  • Spark and Mongo
  • DB Tableau
  • Power BI
  • SQL
  • PHP

FAQs

Our institute stands out for its practical approach to training, focusing on hands-on skill building and competency development. We prioritize industry relevance, ensuring that our curriculum reflects the latest trends and technologies in the field of data science.

Our instructors are seasoned professionals with extensive experience in data science and related fields. They hold advanced degrees in computer science, statistics, mathematics, or other relevant disciplines and bring a wealth of industry knowledge to the classroom.

Our training programs are designed to equip students with the technical skills and analytical abilities needed to excel in data science roles. You can expect a rigorous curriculum, industry-aligned projects, and personalized guidance from experienced faculty members.

While some familiarity with programming languages like Python or R is beneficial, we welcome students from diverse academic backgrounds. Our programs are designed to accommodate learners at various skill levels, from beginners to experienced professionals looking to upskill.

We have a very strong Academic Advisory Board comprising of Industry leaders and top academicians. Our partnerships with industry leaders and experts, ensures that our curriculum remains up to date with the latest trends and technologies in the field of data science. This industry relevance gives our students a competitive edge when entering the workforce.

Absolutely! This online data science course is designed to be accessible from anywhere in the world. Whether you're located in a different city or halfway across the globe, you can participate in our training sessions without the need to travel.

No, our programs offer flexibility in terms of timing. You can choose to attend live sessions as per the scheduled timings or access recorded lectures at your convenience. This allows you to balance your learning with other commitments.

Our platform is compatible with a wide range of devices, including laptops, desktops, tablets, and smartphones. As long as you have an internet connection, you can access our programs from any device that suits your preference.

Our institute prioritizes quality education, practical skill development, and student success. We combine rigorous academic training with industry insights to produce well-rounded data scientists who are ready to thrive in today's competitive job market.

Upon enrollment, you'll receive login credentials to our online learning platform, where you'll find all course materials, assignments, and resources. You can access these materials at any time and track your progress throughout the program.

Apply Now