What will you learn in Data Science Training Course
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Master Python, R, and SQL for data analysis, machine learning, and statistical modeling
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Explore data visualization tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn)
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Build machine learning and deep learning models using Scikit-learn, TensorFlow, and Keras
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Handle big data using Hadoop, Spark, and real-time streaming tools like Kafka
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Apply data science to real-world business problems with end-to-end projects
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Prepare for top industry certifications and job roles in data science and AI
Program Overview
Module 1: Python for Data Science
2 weeks
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Topics: Python basics, data structures, libraries like NumPy and Pandas
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Hands-on: Perform exploratory data analysis and build Python-based data scripts
Module 2: Statistics & Probability
2 weeks
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Topics: Descriptive stats, inferential stats, probability distributions
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Hands-on: Analyze datasets using statistical tests and confidence intervals
Module 3: Machine Learning with Scikit-learn
3 weeks
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Topics: Supervised, unsupervised learning, model evaluation
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Hands-on: Build classification, regression, and clustering models
Module 4: Deep Learning with TensorFlow & Keras
3 weeks
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Topics: Neural networks, CNNs, RNNs, activation functions
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Hands-on: Train and evaluate deep learning models on image/text data
Module 5: R Programming for Data Science
2 weeks
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Topics: Data frames, dplyr, ggplot2, statistical modeling
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Hands-on: Perform data analysis and visualization using R
Module 6: SQL for Data Science
1.5 weeks
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Topics: Joins, aggregations, subqueries, window functions
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Hands-on: Query structured data for analysis and reporting
Module 7: Data Visualization with Tableau & Power BI
2 weeks
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Topics: Dashboards, filters, charts, calculated fields
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Hands-on: Build interactive business dashboards from raw data
Module 8: Big Data & Spark for Data Science
2 weeks
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Topics: Hadoop ecosystem, Spark RDDs, Spark MLlib
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Hands-on: Process and analyze large datasets using PySpark
Module 9: Capstone Project
2 weeks
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Topics: End-to-end data science case study involving real-world datasets
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Hands-on: Apply data science lifecycle: data wrangling, modeling, evaluation, visualization
Job Outlook
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Data Scientists are among the most sought-after professionals globally
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Career roles include Data Scientist, Machine Learning Engineer, and AI Specialist
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Salaries range from $100,000 to $160,000+ in top markets
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Strong demand in sectors such as healthcare, fintech, e-commerce, and consulting
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Last verified: March 12, 2026
Who Should Take Data Science Training Course?
This course is best suited for learners with no prior experience in data science. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by Unknown on Edureka, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a certificate of completion that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers.
If you are exploring adjacent fields, you might also consider courses in AI Courses, Agile & Scrum Courses, Arts and Humanities Courses, which complement the skills covered in this course.
FAQs
Can this course help me become a professional Data Scientist from scratch?
Covers foundational programming with Python, R, and SQL. Teaches machine learning, deep learning, and big data tools like Hadoop and Spark. Includes hands-on projects for real-world data analysis and predictive modeling. Prepares learners for industry certifications and job roles like Data Scientist, ML Engineer, and AI Specialist. Focuses on end-to-end data science workflow from data wrangling to visualization.
Will I learn to handle big data and real-time data streams effectively?
Teaches Hadoop ecosystem, Spark RDDs, and Spark MLlib for large dataset processing. Covers real-time data streaming with tools like Kafka. Includes exercises for processing and analyzing big datasets using PySpark. Guides learners in building scalable data pipelines for enterprise applications. Prepares learners to tackle big data challenges in various industries.
Is prior programming or statistics knowledge required for this course?
Designed for beginners but familiarity with basic math or programming is helpful. Introduces Python, R, and statistical concepts progressively. Provides step-by-step exercises to strengthen programming and analytical skills. Encourages hands-on practice to build confidence in data manipulation and modeling. Suitable for career changers, freshers, and aspiring data professionals.
Can this course help me gain skills for building machine learning and AI models?
Covers supervised and unsupervised machine learning using Scikit-learn. Teaches deep learning with TensorFlow and Keras for neural networks, CNNs, and RNNs. Provides hands-on exercises to train and evaluate models on image, text, and tabular data. Guides learners in model selection, evaluation, and deployment strategies. Prepares learners for AI-focused roles and projects in real-world business contexts.
Will I learn to create professional dashboards and visualize data effectively?
Covers Tableau and Power BI for interactive business dashboards. Teaches Python libraries like Matplotlib and Seaborn for data visualization. Guides learners in creating charts, filters, calculated fields, and dashboards. Focuses on turning data insights into actionable visual reports. Prepares learners to communicate data findings effectively to stakeholders.
What are the prerequisites for Data Science Training Course?
No prior experience is required. Data Science Training Course is designed for complete beginners who want to build a solid foundation in Data Science. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners.
Does Data Science Training Course offer a certificate upon completion?
Yes, upon successful completion you receive a certificate of completion from Unknown. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Data Science can help differentiate your application and signal your commitment to professional development.
How long does it take to complete Data Science Training Course?
The course is designed to be completed in a few weeks of part-time study. It is offered as a lifetime course on Edureka, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably.
What are the main strengths and limitations of Data Science Training Course?
Data Science Training Course is rated 9.5/10 on our platform. Key strengths include: covers python, r, sql, ml, dl, and big data in one structured path; includes real-world capstone projects and interview preparation; offers exposure to both traditional statistical methods and modern ai tools. Some limitations to consider: intense pace may be overwhelming for complete beginners; limited focus on deployment (mlops, ci/cd) and real-time model integration. Overall, it provides a strong learning experience for anyone looking to build skills in Data Science.
How will Data Science Training Course help my career?
Completing Data Science Training Course equips you with practical Data Science skills that employers actively seek. The course is developed by Unknown, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market.
Where can I take Data Science Training Course and how do I access it?
Data Science Training Course is available on Edureka, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. Once enrolled, you have lifetime access to the course material, so you can revisit lessons and resources whenever you need a refresher. All you need is to create an account on Edureka and enroll in the course to get started.
How does Data Science Training Course compare to other Data Science courses?
Data Science Training Course is rated 9.5/10 on our platform, placing it among the top-rated data science courses. Its standout strengths — covers python, r, sql, ml, dl, and big data in one structured path — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding.
