Data Science Course Fees in 2025

The role of a Data Scientist demands a combination of experience, knowledge in Data Science, and proficiency in relevant tools and technologies. It is a promising career path for both experienced and novice professionals. Individuals with an analytical mindset from any educational background are well-suited to undertake Data Science training.

• IT Professionals

• Analytics Managers

• Business Analysts

• Banking and Finance Professionals

• Marketing Managers

• Supply Chain Network Managers

• Beginners or Recent Graduates in Bachelor's or Master's Degree

• Data Science has emerged as one of the most in-demand professions this year, with the United States Bureau of Labor Statistics forecasting remarkable growth and predicting 11.5 million job opportunities by 2026, growing at an annual rate of 28%. Logicmojo Data Science course, developed in collaboration with IBM, is designed to help you master essential skills critical to the job, such as data mining, statistics, hypothesis testing, decision trees, clustering, logistic and linear regression, data wrangling, data visualization, supervised and unsupervised learning, recommendation engines, and more.

• This comprehensive Data Science course combines both live-online instructor-led classes and self-paced learning videos co-developed with IBM. Additionally, it concludes with a Capstone project that reinforces the training by allowing you to build a relevant product that encompasses all the crucial aspects learned throughout the program. By mastering the skills taught in this Data Science course, you can better prepare yourself for the role of a Data Scientist.

Due to the growing demand for data-driven solutions in businesses, there is a significant increase in the need for data scientists who possess the necessary skills in Data Science. This online Data Science training program will enable you to develop expertise in various areas, such as Data Science, R programming language, Data Analysis, and Big Data. Obtaining this certification can expedite your career growth in this rapidly developing field and propel it to the next level.

• The average annual salary of Data Scientists as per Indeed is US$15,00,000 in India.

• Data Scientist is the best job in the 21st century — Harvard Business Review

• The number of jobs for all data professionals in the India will increase to 3.4 million — IBM

• Global Big Data market achieves US$122 billion in sales in 6 years — Frost & Sullivan

• Yes, financial aid options are available for data science courses, including scholarships and other forms of assistance. Logicmojo, a reputable platform for data science courses, offers a unique financial aid option in the form of no-cost EMIs (Equated Monthly Installments).

• Through the no-cost EMI option, Logicmojo provides students with the opportunity to enroll in their data science courses without the immediate financial burden. This option allows students to pay for the course fees in monthly installments without any additional interest charges. By spreading the cost over several months, students can manage their financial obligations more effectively.

• The availability of no-cost EMIs as a financial aid option is a significant advantage for individuals who wish to pursue data science courses but may have limitations in their current financial circumstances. It allows students to invest in their education and acquire valuable data science skills without facing a significant upfront financial burden.

• To take advantage of the no-cost EMI option offered by Logicmojo, prospective students can explore the details on their website and understand the terms and conditions associated with this financial aid option. This information will provide clarity on the specific eligibility criteria, the application process, and the repayment structure.

• By researching and exploring financial aid options, such as the no-cost EMIs offered by Logicmojo, aspiring data scientists can make their data science education more affordable and accessible. It is advisable to consider these opportunities and find the most suitable financial aid option to reduce the overall financial burden of pursuing a data science course.

• Absolutely online data science classes may be just as beneficial as traditional classroom instruction, especially when they're provided through services like Logicmojo. A variety of features are offered by Logicmojo to improve learning and guarantee the success of their online data science courses.

• One key feature offered by Logicmojo is live classes. These live interactive sessions provide students with the opportunity to engage with instructors in real-time, ask questions, and receive immediate feedback. This interactive aspect helps simulate the classroom experience and promotes active learning.

• Expert talk sessions offered by Logicmojo further enhance the effectiveness of online data science courses. These one-on-one sessions allow students to directly interact with industry experts, gaining insights, industry knowledge, and practical advice. Such personalized guidance helps bridge the gap between theoretical concepts and their real-world applications.

• Real-time project-based learning is another crucial component of Logicmojo's online data science courses. By working on real-world projects, students can apply their theoretical knowledge to practical scenarios. This hands-on experience helps in developing practical skills, problem-solving abilities, and a deeper understanding of data science concepts.

• Additionally, Logicmojo's online platform likely incorporates various learning resources, such as video lectures, interactive quizzes, and discussion forums, enabling students to access and review course material at their own pace. This flexibility allows learners to tailor their study schedules to fit their individual needs and learning preferences.

• While online data science courses offer many advantages, it's important to consider personal learning preferences. Some individuals may thrive in a traditional in-person classroom setting, while others may find online courses more conducive to their learning style. By providing features such as live classes, expert talk sessions, and real-time project-based learning, Logicmojo aims to deliver an effective online learning experience that can rival the effectiveness of in-person courses.

• Ultimately, the effectiveness of an online data science course depends on factors such as the course content, the quality of instruction, the platform's interactive features, and the learner's dedication and engagement. Logicmojo's comprehensive approach to online data science education suggests that their courses are designed to be highly effective and provide learners with the knowledge and skills required to excel in the field of data science.

If you are interested in learning Data Science course, there are several prerequisites that you should consider due to the increasing demand in this field:

Mathematical Skills: A strong foundation in mathematical concepts like linear algebra, matrices, calculus, gradients, etc. is a major prerequisite for taking up Data Science courses.

Programming Skills: It is essential to have a good understanding of programming languages such as Python, C, C++, SQL, Java, etc. to gain complete knowledge and understanding throughout the Data Science online course.

Data Processing: As Data Science revolves around handling data, it is crucial to be familiar with data mining, data modeling, data processing, etc., which will help you pursue Data Science online training with ease.

Statistical Analysis: Possessing expertise in statistical analysis is a significant advantage when it comes to learning Data Science. Data Science aims to extract valuable insights from vast collections of data, and experience working with analytical tools such as Hadoop, Python, SAS, and many more can help you perform statistical analytics efficiently.

Data Visualization Skills: Familiarity with data visualization tools such as Matplotlib, Tableau, and others can help you comprehend complex outcomes and enable your audience to understand the metrics.

Through this Data Science training, you will master the following concepts:

• Data analysis, project life cycle, and Data Science in the real world.

• Machine Learning algorithms

• Techniques of evaluation, experimentation, and project deployment

• Analysis segmentation using clustering and the method of prediction.

• Python with Data Science.

• Git, Storytelling

• Data Science at scale with PySpark, AI with TensorFlow

• Deploying Machine Learning models on Clouds (MLOps)

• Data visualization with Tableau

• Natural Language Processing and its applications

• Microsoft Excel for data analysis and data transformation

• Data Science projects, analytics, and recommender systems

We will explore the different paths to enter data science.

• Online Learning: With its growing popularity in recent times, online education stands as a feasible gateway to data science. A plethora of virtual courses and programs are available for acquiring data science expertise.

• Bootcamps: Data science bootcamps, characterized by their intensive nature, equip you with the essential skills for a data science career. These programs span a brief period, typically lasting from a few weeks to several months.

• Formal Education: Entering data science through traditional academia remains a popular choice. Multiple degree options exist, including bachelor's, master's, and PhD programs.

• Bachelor's Degree: A bachelor's degree in a pertinent field, such as mathematics, computer science, or statistics, lays the groundwork for a data science career. Students gain exposure to programming languages like Python or R, statistics, and data analysis methodologies.

• Master's Degree: Pursuing a master's degree in data science or a related discipline offers a deeper understanding of the field. Advanced techniques, including machine learning, data mining, and data visualization, form the crux of these programs.

• PhD: For those with aspirations in research or academia, a data science PhD equips you with the required expertise and knowledge. Advanced research methodologies and participation in groundbreaking projects are key components of these programs.

• Self-Learning: As an alternative, self-learning also paves the way for entering data science. Numerous online resources, such as blogs, tutorials, and videos, are available to hone data science skills. Nonetheless, self-learning demands discipline and motivation.

• Certifications: Securing various certifications helps showcase your data science prowess to potential employers. Well-regarded certifications include Certified Analytics Professional (CAP), IBM Data Science Professional Certificate, and Microsoft Certified: Azure Data Scientist Associate.