70% of the Data Science job openings require less than five years of experience. Our Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI courses meet the increasing demand for skilled professionals in this field. Learning data science and data analytics can open up many career opportunities in fields such as data analysis, business intelligence, and decision making.
Our courses provide students with the knowledge they need to become proficient in their chosen field of Data Science. Our training programmes aim to bridge the gap between industry demands and aspiring professionals' current skill set, assisting them in achieving their career objectives. We provide comprehensive training to prepare students for a rewarding career in data science.
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Project-based Assessment
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Appending data Merge Queries & M Language Objects, bookmarks, slicers Tables, MAPS, charts Text functionsClustering, Classification Decision Tree and Forecasting R Programming Regression Analysis Statistics & ProbabilityData Analytics & its Methodologies Data Mining Data Visualization SAS & SPSS Supervised learning algorithmAPI libraries Clustering & classification Data Distribution & correlation Decision free Exploratory Data Analysis Forecasting Text miningThis course covers both fundamental and advanced machine learning concepts, such as data preparation, feature engineering, model selection, and optimisation. You will learn to use and implement popular machine learning algorithms such as regression, clustering, and decision trees in Python and R.
Data science is a rapidly evolving field that combines statistical analysis, machine learning, and data engineering to extract valuable insights and make data-driven decisions. This article explores four intriguing data science projects: Heart Failure Prediction System, Speech Emotion Detection System using Python, Credit Card Fraud Detection System, and Recipe Recommendation from Ingredients Flutter App. Each project highlights unique aspects of data science, from predictive modeling to natural language processing and recommendation systems.