Edoxi's 75-hour Online Data Science training equips professionals and graduates with job-ready analytical skills. Designed for career switchers and professionals from non-technical backgrounds, this course provides a strong foundation in Python, SQL, Power BI, and introductory machine learning. The program reflects real-world workflows used across enterprises worldwide.
Participants engage in dedicated lab exercises that apply Python libraries like Pandas and Matplotlib to practical scenarios. Hands-on sessions cover database design with MySQL, interactive dashboard creation in Power BI, and exploratory data analysis techniques. These activities build competency in data cleaning, manipulation, visualisation, and foundational predictive modelling.
The course prepares learners for entry-level roles in data analytics and trainee data science positions. Skills acquired translate directly to business environments in operations, finance, HR, sales, supply chain, and project management. Participants develop the ability to interpret results and communicate insights clearly to stakeholders.
To know more information about the Data Science Course fee, syllabus or schedule an online/Classroom and Corporate Training, contact our team at Edoxi.
Practice data manipulation using Pandas and NumPy libraries on authentic business data.
Observe end-to-end data analysis processes from acquisition to insight generation.
Design schema, establish relationships, and execute SQL operations in practical scenarios.
Build interactive reports connecting multiple data sources with calculated measures.
Work on sector-specific case studies tailored to finance, healthcare, retail, or logistics domains.
Receive individual attention in small batches with dedicated trainer support.
Recent graduates seeking to start careers in data analytics without prior technical experience.
Individuals from finance, HR, sales, marketing, supply chain, or project management backgrounds.
Professionals looking to expand into analytics and junior data science positions.
Organizations aiming to develop data-driven decision-making capabilities across departments.
This Data Science course provides hands-on lab sessions featuring Python programming tasks, MySQL database implementations, and Power BI dashboard development. Live demonstrations, case studies, and doubt clearance sessions ensure participants gain practical experience with Pandas, NumPy, Matplotlib, Seaborn, SQL queries, and Power Query transformations.
Work on real-world datasets using Pandas and Matplotlib libraries. Perform data manipulation, statistical analysis, and create insightful visualisations to communicate findings effectively across business contexts.
Design and implement comprehensive database schemas using MySQL. Create tables, establish relationships, write SQL queries for insertion, retrieval, updates, and deletions. Build sample applications interacting with databases.
Create interactive dashboards incorporating charts, graphs, and maps to present key insights. Connect multiple data sources, perform transformations, and create calculated measures to enhance analytical capabilities.
Build predictive models using machine learning algorithms. Perform data preprocessing, train-test splits, model training, hyperparameter tuning, and performance evaluation. Present results with appropriate visualisations for stakeholder communication.
Pursuing the Data Science course provides multiple career entry points into analytical and data-driven roles across industries, including finance, healthcare, logistics, retail, and technology sectors. Here are some outcomes that you can expect after completing the Data Science Course;
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Join Edoxi’s Data Science Course
Edoxi is a leading Data Science Training Institute, offering the best professional training courses worldwide. The following are some of the reasons why you should choose Edoxi’s Data Science Training;
Gain expertise in real-world data science through practical projects that reinforce core concepts and build problem-solving skills.
Create a portfolio featuring four major projects using leading tools such as Python, MySQL, Power BI, and machine learning algorithms.
Learn Python fundamentals and advance step-by-step into database management, business intelligence, statistics, and machine learning techniques.
Gain the technical expertise and business acumen required to thrive in the fast-growing, data-driven industries.
Benefit from comprehensive guidance, including access to up-to-date tools, doubt clearance sessions, and career mentorship.
Upon successful completion of the course, you will receive a course completion certificate from Edoxi. This validates your skills to potential employers.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Nahid S
Nahid S. is an experienced educator with 8+ years of expertise in academia, training, and software development. Skilled in curriculum design, interactive training, and mentorship, she has equipped learners with hands-on skills in data analytics, data science, cloud computing, and software engineering. Nahid is an AWS Academy Accredited Educator, AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals, and Google Certified Educator (Level 1). She brings a strong technical foundation and industry credibility to the classroom, blending theoretical knowledge with practical applications.
Nahid has delivered engaging lectures and practical sessions across core and elective subjects, including Cloud Computing, Python, Machine Learning, and Data Science. Nahid has designed and implemented industry-relevant training programs that boost employability. With a strong focus on student development, she has provided mentorship in projects, internships, and career planning while organising workshops, seminars, and guest lectures to bridge the gap between academia and industry.
Here is the list of other major locations where Edoxi offers Data Science Course
A Data Science course teaches how to collect, analyze, and interpret large datasets using tools such as Python, SQL, machine learning, and data visualization to support data-driven decision-making.
No prior programming experience is required. The Data Science course begins with Python fundamentals and gradually builds your skills through guided exercises and practical projects.
Data science and analytics skills are used across many industries, including finance, healthcare, retail, logistics, supply chain, operations, HR, sales, marketing, and project management. Organisations in these sectors rely on data-driven insights to support decision-making.
The course provides comprehensive training in Power BI tools and techniques; however does not provide Power BI Certification. If you want a certification, then you can join the Power BI Training Course.
Yes, the Data Science training can be customised for corporate teams. The course structure, schedule, and delivery format can be adapted to meet organisational learning objectives and workforce development needs.
Typical entry-level roles include Junior Data Analyst, Business Intelligence Analyst, Reporting Analyst, Data Analytics Associate, and Junior Database Analyst.
Online sessions are conducted live and are designed to replicate an interactive classroom environment. Training includes demonstrations, screen sharing, virtual labs, and real-time interaction with instructors.
The duration varies depending on the training format and depth of the curriculum. Most professional training programs take 75-hours, while intensive bootcamps may be completed in a few weeks.
You will typically learn Python programming, SQL, statistics, data visualisation, machine learning basics, data cleaning, exploratory data analysis (EDA), and predictive modelling.
Yes. Many data science programs are designed for beginners and start with foundational concepts such as Python programming, statistics, and data analysis before moving into advanced topics.
Common tools include Python, R, SQL, Power BI, Tableau, Pandas, NumPy, Scikit-learn, Jupyter Notebook, and Excel.
Data Science focuses mainly on analysing historical data and generating reports, while data science involves advanced techniques such as machine learning, predictive modelling, and algorithm development.
A basic understanding of mathematics and statistics is helpful, but most courses teach the required statistical and analytical concepts as part of the curriculum.
Data science can be challenging because it combines programming, statistics, and analytical thinking. However, with structured training and consistent practice, beginners can successfully learn the required skills.
Salaries for data science professionals vary depending on experience, location, and industry. Entry-level data scientists in the United States earn around $83,000 per year on average, while mid-level professionals can earn $110,000–$160,000 annually.
Yes. Many institutions offer live online training, self-paced courses, and hybrid learning formats that allow students to learn data science remotely.
