Data Science Classes near me in Canada

I got your response from urbanpro regarding Data Science Using R and Python Programming. And, I completed B.Tech with MBA also Pursuing Ph.D in the field of Data Analytics and Business Intelligence in BITS Pilani,So far more than 1500 professionals trained and many colleges across India trained the students. Kindly, Share your email ID will send you the detailed course brochure. This course is designed for professionals who want to explore data analysis using R Programming and it includes Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression and Random Forest Regression and Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification and Random Forest Classification and then Clustering: K-Means and Hierarchical Clustering and then Association Rule Learning: Apriori Algorithm and Eclat and then Reinforcement Learning and then Natural Language Processing and Deep Learning: Artificial Neural Networks, Convolutional Neural Networks and Dimensionality Reduction: PCA, LDA, Kernel PCA. Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Generative AI Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.

I worked in software industry for close to 16 years and have 3 yrs of relevant experience in ML and NLP technologies using python. Currently, I am on a break and looking forward to teach the subjects on which I have hands-on. Key skills are Python, Machine Learning, Natural Language Processing, Scikit-Learn, Numpy, Panda, Gensim, Spacy, NLTK. Have exposure to deep learning technologies like Keras and Tensorflow.

Data Science Architect (Certified Trainer & Professional) with 10+ years experience in I.T Industry.Working in areas of Data Science,Data Analytics,Business Statistics,Machine Learning,Deep Learning ,Artificial Intelligence,Python,R,Big Data,Hadoop,Map Reduce Spark,Hive,Tableau,SQL,Oracle Erp.

• 9+ years experienced Senior Software Engineer and Certified Data Science Professional highly skilled in solving real-world business challenges using data analytics and building predictive models. • Adept at setting up the Data Science Workbench for increasing overall organizational efficiency. • Proficient in identifying patterns and extracting valuable insights for key stakeholders and organizational leadership. • Areas of Expertise: Data Analytics | Python | NLP | Machine Learning | Text Summarization | Predictive Analytics | Classification | Regression | Clustering | Data Engineering | Airflow I have helped many students and professionals crack the assignments for Data science Post graduate courses and have helped them by explaining the concepts of Data science and Python with ease of understanding.

Having more than 8years exp into IT.

I am a Data Science and Artificial Intelligence trainer with 7 years of industry experience, passionate about helping students build strong foundations in this rapidly evolving field. I specialize in teaching Python programming, Machine Learning, Deep Learning, Data Analysis, and real-world AI applications. My focus is on making complex technical concepts simple, practical, and career-oriented. Although my formal teaching journey is relatively recent, my extensive hands-on industry experience allows me to bring real-world exposure directly into the classroom. I have worked on projects involving predictive analytics, machine learning models, and AI-driven solutions, which helps me train students with practical insights rather than purely theoretical knowledge. I hold dual Master’s degrees in Artificial Intelligence and Data Science, which have provided me with in-depth expertise in advanced analytics, statistics, machine learning algorithms, and AI systems. My academic background ensures that I explain concepts with both technical accuracy and structured clarity. In addition to my degrees, I have completed 27 professional certifications in Data Science and Artificial Intelligence. These certifications cover a wide range of tools, technologies, and advanced methodologies used in the industry today. Staying updated with the latest trends allows me to deliver relevant and up-to-date training aligned with industry standards. My teaching methodology combines strong theoretical foundations with hands-on practice. I begin with clear conceptual explanations and then move toward practical implementation through exercises, case studies, and real-world projects. This ensures that students not only understand the “how” but also the “why” behind every concept. I conduct online classes using PPT presentations and a whiteboard to maintain structure and clarity. My sessions are interactive, structured, and practice-driven, designed to prepare students for real career opportunities in Data Science and AI. My goal is to equip learners with the confidence, technical competence, and practical skills required to succeed in this competitive field.

I have 20 years strong experience & Alumni of MBA-IIMC SQC-ISI Building Statistical Predictive models and interpreting results and business problem solving. A technically qualified Data Science & Business Analytics professional with strong foundation in Mathematics, Statistics, Machine Learning and Data Mining techniques. Strong expertise performing on-demand, exploratory and targeted data analyses to obtain insights from data and turn insight into action by creating predictive analytic business solution. Education MBA Indian Institute of Management (IIMC) Kolkata SQC-OR Indian Statistical Institute (ISI), Kolkata.

Supervised Un Supervised Time Series Text analytics Python Machine leanring Mathematics Statistics