Data Science Course | Python, ML & AI Training Program

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Course Highlights

Data Science is a multidisciplinary field that combines statistics, data analysis, and machine learning to extract insights from structured and unstructured data. This program is designed in alignment with industry standards and the NASSCOM FutureSkills framework to develop core competencies required in data science and analytics.
The course follows a structured, outcome-based learning approach covering key areas such as Python programming, data preprocessing, machine learning, data visualization, and basic deep learning concepts. Learners will gain hands-on experience through real-world datasets, case studies, and project-based learning.
The program emphasizes practical implementation and problem-solving skills, enabling learners to apply data science techniques across various business domains. Upon completion, participants will be equipped with industry-relevant skills required for entry-level roles in data science and related fields.

The Data Science Training Course offered by Placement Point Solutions is designed to equip learners with industry-relevant skills in data science, machine learning, and data visualization. The program focuses on providing hands-on training using widely adopted tools such as Python, Excel, SQL, and Power BI, enabling learners to analyze data and develop predictive models for business decision-making. The course is suitable for beginners, fresh graduates, and working professionals seeking to build or transition into careers in the data science domain.
The curriculum includes core topics such as Python programming, data handling using Pandas, data cleaning techniques, exploratory data analysis (EDA), statistics fundamentals, and various machine learning algorithms including regression, decision trees, clustering, and support vector machines. Advanced modules introduce learners to deep learning concepts, natural language processing (NLP), time-series analysis, and model evaluation techniques. The course also incorporates real-time projects and capstone assignments that help learners apply theoretical knowledge to real-world datasets.
In addition to technical learning, the program provides resume-building support, mock interviews, and placement guidance. Upon completion, learners are prepared to pursue roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Developer, and Data Scientist across multiple industries.