Data Science Classes near me in Australia

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 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

I have been teaching Math/STAT/Aptitude to the aspirants of various competitive exams in India, for the last 20 years .I was into DATA Science since 2015.I was trained in DATA SCIENCE at Hyderabad. I have been teaching DATA SCIENCE/MACHINE LEARNING/ARTIFICIAL INTELLIGENCE at SATHYA TECH.s AMEERPET for the last 4 years. As a faculty of DATA SCIENCE I taught following topics: Descriptive statistics- measures of central tendency -mean, median mode, measures of dispersion -Range , quartile deviation , mean deviation and variance. Probability, Inferential statistics - difference b/w SAMPLE and POPULATION estimation of Mean , population proportion, confidence intervals, variance.. etc. Distribution functions -binomial, poison, Normal. Bivariate analysis , ANOVA. Regression analysis , multi variate analysis ,Machine learning and Neural networks.Deep learning , Artificial intelligence. using python , R and Tablaeu. We are offering an online course in Data Science -Machine learning and Artificial intelligence Course duration is 90 hrs of teaching , every day 1 hour sessions are delivered online , on every Sunday , students are going to solve real time industry related projects under the guidance of experienced data scientist.We also help freshers in resume preparartion, give sample projects so that they may show their work in resume, we also help experienced candidates who want career shift into the world of Data Science and Artificial intelligence succesfully.