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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
Data Science Foundation is a high-level Data Science course designed with an agenda covering all aspects of data science with core concepts. Data Science has three board domains viz., Statistics, Machine Learning/ Programming/ Data Skills, Business Domain Knowledge. The foundation courses focus on basic statistics, an overview of Machine Learning with hands-on practice with a couple of ML algorithms and application of Data Science in top 5 industry domains.
This also includes two hands-on Data Science case study, enabling the candidates to not only understand the core concepts but also gain practical hands on knowledge, thereby boosting the confidence to pursue further knowledge in the field of Data Science.
Data Science is becoming the most important element in any industry or business. Many organizations including fortune 500 companies, already aligning their organization structure to facilitate the data science-driven decision making at various levels. From the reports by mainstream think tanks, top consulting companies, it is evident that, beyond any doubts, that either an organization or an individual professional, not gaining the Data Science skill would face uncertainty in near future.
The Data Science Foundation course provides you with solid foundation for Data Science knowledge. This course is equally valuable for beginners, professionals at various levels. If you don't want to be left behind with this huge Data Science wave, this is the course for you.
After successful completion of this “Certified Data Science Foundation" course, you should have
This course is not specific for any industry as well as professional experience. Anyone from beginners to business leaders, aspiring to gain Data Science knowledge can pursue this course.
Data science is a multidisciplinary field that involves extracting actionable insights and knowledge from large volumes of structured and unstructured data. It combines techniques from various domains, including mathematics, statistics, computer science, and domain expertise, to analyze complex data sets and uncover patterns, trends, and correlations.
Data Science is accessible to individuals of various backgrounds and professional levels. Whether you are a novice or an experienced professional, you can pursue learning in Data Science. This includes engineers, marketing professionals, software developers, and IT experts, who can choose to participate in part-time or external Data Science programs. For full-time courses, a foundational understanding of high school-level subjects is typically the minimum requirement.
The cost of attending a Data Science course may vary depending on the level of training you are seeking. However, generally speaking, the Data Science Course Fees typically ranges from 1000 USD to 3000 USD across different training providers.
The basic skills required to learn Data Science include programming (Python/R), statistics and mathematics, data manipulation, data visualization, machine learning, database and SQL, problem-solving, and domain knowledge.
The time frame for the Data Scientist Course will vary from a period of 2 months to 1 year according to the subject level and syllabus designed for various branches under Data Science.
Yes, strong programming skills are essential for a Data scientist as it enables them to manipulate, analyze, and derive insights from data using programming languages like Python or R.
Data Science can be challenging, but the level of difficulty varies depending on factors such as prior experience, background knowledge, and the complexity of the problem being addressed. Dedication, continuous learning, and practice can help overcome challenges and excel in the field.
Data Science has a vast scope as it empowers organizations to effectively analyze massive volumes of data from diverse sources, enabling informed, data-driven decision-making. It finds applications across industries such as marketing, healthcare, finance, banking, policy work, and more, highlighting its importance and relevance.
Yes, freshers can pursue a Data Science course and find employment opportunities. Many companies hire freshers for entry-level Data Scientist positions, prioritizing aptitude, communication skills, and critical reasoning abilities over specialized qualifications or post-graduation degrees. Engineering graduates from any stream can be eligible for these positions.
Yes, it is possible to make a successful transition from a non-coding background to a data science career. While prior coding experience can be beneficial, it is not mandatory. Many individuals with non-coding backgrounds have successfully entered and thrived in the field of data science.
Yes, individuals with a mechanical engineering background can make a successful transition to a career in data science. Although the fields may differ, skills such as mathematics, problem-solving, and analytical thinking acquired through mechanical engineering can be valuable assets in data science.
This course is perfectly aligned with the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org, where you can find your test results and other relevant validation details.
The results of the exam would be reflected immediately when you take the test online at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.
No, the examination fees is already included in the course fee and you would not be charged any extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relationship manager at DataMites™ shall assist you with part payment agreements.
DataMites™ has a dedicated Placement Assistance Team(PAT), who works with candidates on an individual basis in assisting for the right Data Science job.
You get a 100% refund if you are not satisfied with the training but the exam cannot be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on a case to case basis.
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
At DataMites, there are several beginner-level Data Science courses offered:
Certified Data Scientist (CDS): This course covers the fundamentals of Data Science, including Python programming, data analysis, machine learning algorithms, data visualization, and model deployment. Practical experience is gained through hands-on projects and case studies.
Data Science Foundation: This course provides a strong foundation in Data Science concepts and techniques, covering Python programming, data manipulation, exploratory data analysis, statistical analysis, machine learning algorithms, and data visualization.
Diploma in Data Science: This comprehensive program covers a wide range of topics, including Python programming, data preprocessing, exploratory data analysis, feature engineering, machine learning algorithms, deep learning, natural language processing, and big data analytics. Practical skills are enhanced through hands-on projects and industry-relevant case studies.
Data Science Foundation is specifically fabricated to cover the core concepts of Data Science - essentially imparting foundational knowledge on the data science domain. The Data Science Foundation Course is valuable for both freshers and experienced professionals.
Data Science Foundation Course is designed for no particular audience but for all - from freshers to experienced professionals to senior managers who wish to embark on their career in Data Science or understand the world of data science can attend training.
Yes, there are courses specifically designed for C-level executives and business owners, such as "Data Science for Managers." These courses aim to provide a comprehensive understanding of data science concepts, strategies, and applications from a managerial perspective. The goal is to enhance the data science competency of managers and enable them to make informed decisions based on data-driven insights.
The Data Science Foundation Course from DataMites is open to a wide range of individuals, including beginners such as graduates or students from any discipline who aspire to build a career in Data Science, analytics, or big data domains. It is also suitable for working professionals who want to transition into the analytics/data science field, professionals already working in data analysis/analytics who wish to enhance their skills in mainstream Data Science, candidates seeking formal certification as evidence of their skills, and anyone who has an interest in gaining knowledge in the field of Data Science.
By enrolling in the Data Science Foundation Course, you will:
When you choose DataMites™ for your Data Science training, you can expect the following benefits:
The Data Science Foundation Course fee is:
The fees for the Online Data Science Foundation Training is:
At DataMites you will have training for a period of 2 weeks.
Yes, DataMites provides classroom training, currently available in Bangalore. However, for other locations, classroom training can be arranged upon demand and availability of applicants and candidates from the specific location.
At DataMites, our trainers are selected based on their expertise and qualifications. We ensure that they are highly qualified educators with extensive industry experience and in-depth knowledge of the subject matter. All trainers are certified to teach and are capable of delivering excellent instruction to our students.
The FLEXI-PASS offered by DataMites allows participants to attend Data Science Foundation training sessions for a duration of 3 months. It provides the flexibility to address any queries or revisions that individuals may have during this period.
Yes, upon completing the Data Science Foundation Training from DataMites, you will be awarded the IABAC® certification, which holds global recognition for your acquired skills.
Absolutely, DataMites will provide you with a certificate upon successfully finishing the Data Science Foundation course.
Yes, it is necessary to bring a photo ID proof such as a National ID card or Driving License. These documents are required for issuing a Participation Certificate and for booking the certification exam, if needed.
If you happen to miss a session, simply get in touch with your trainers and arrange a makeup class that suits your schedule. For online training, all sessions will be recorded and made available for you to catch up at your own convenience.
Certainly, you will be offered a free demo class to provide you with a glimpse of how the training will be conducted and what topics will be covered.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that assists students with placement opportunities after the completion of the course.
DataMites offers flexible learning options, including Live Online training, self-study methods, and classroom training.
DataMites adopts a case study approach to learning, where you will be introduced to theory, followed by hands-on practice, case studies, project work, and finally, model deployment.
Absolutely, you can definitely switch to a support session if you require a better understanding of any topic. It is important to make the most out of your training sessions, and additional support is available upon request.
DataMites accepts payments through various methods, including cash, net banking, cheque, debit card, credit card, PayPal, Visa, MasterCard, and American Express.
The fee for the Data Science for Managers Course varies based on the mode of learning:
Online Data Science for Managers Course:
Having a strong understanding of programming languages like Python, R, Excel, C++, Java, and SQL is preferred. However, beginners can start from the basics and gradually improve their programming skills.
Yes, upon successful completion of the Data Science for Managers training, DataMites will issue you an IABAC® certification that holds global recognition for the relevant skills.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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