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Overview Of Data Science Course

Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy.

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Overview Of Data Science Course

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  1. Overview Of Data Science Course •Exploring the EduXfactor Data Science Training program, you will learn components of the Data Science lifecycle such as Big Data, Hadoop, Machine Learning, Deep Learning & R programming. Our professional experts will teach you how to adopt a blend of mathematics, statistics, business acumen, tools, algorithms & machine learning techniques. You will learn how to handle a large amount of data information & process it according to any firm business strategy. •Necessary Required Skills •Intro To Data & Data Science •We live in a data-driven world & studies evaluate that the data gets generated continuously across the globe. With the increasing demand, analyzing the data and its principles help you advance in your career in data science. Data science aid firms to find patterns in massive volumes of organized & unstructured massive data. As a result, businesses may enhance efficiency, control expenses, uncover new market possibilities, and strengthen their competitive edge. •You will learn: Our Data Science training will help you gain an in-depth understanding of Big Data, Business Intelligence, Business Analytics, Machine Learning & Artificial Intelligence concepts. Our instructors will give you a comprehensive knowledge of these concepts & help you fit in the domain. •Mathematics •Before you delve into any specific techniques, it is crucial to have a solid foundation in calculus & linear algebra, which will allow you to understand and use the fundamental mathematics concepts of the field. •You will learn:Our Data Science course will show you how to use derivatives, integrals & matrices to solve problems related to data science. •Statistics •Statistics trains your mind to frame problems as hypotheses & gives you techniques to test these hypotheses, just like a scientist. •You will learn:Our data science training prepares you to think like an expert by utilizing various statistical techniques alongside improving your skills. You not only acquire the skills you need, but you also learn how to apply them in this domain. •Python

  2. •Python is a relatively new programming language & unlike R, it is a general-purpose programming language. Web applications, computer games & data science are many of its capabilities. Extreme libraries enable data manipulation, transformation & visualization. Also, Python deals with machine learning & deep learning. •You will learn: Trainees will learn powerful frameworks such as sci-kit-learn, TensorFlow & more, which they will use to develop, implement, and deploy machine learning models. •Advanced Statistics •Statistical methods such as regressions, clustering & factor analysis can be performed through machine learning to produce predictions with unparalleled accuracy. This section will go through these strategies in depth. •You will learn: Predictive modeling is a crucial component of data science & you can hone your skills with advanced statistics. Our curriculum allows trainees to integrate data into projects using these concepts. •Machine Learning •The final part of the program will focus on deep learning, the most recent advancement in machine-learning technology. •You will learn: Through Machine Learning, learn how to use deep learning with TensorFlow to take your data analysis to the next level. •Know Different Aspects •Our data science training course offers advanced modules to become a professional data scientist. •Fill your portfolio with in-demand data science abilities such as statistical analysis, Python programming with NumPy, pandas, matplotlib, Seaborn & data visualization. •Demonstrate your knowledge in the data science domain to impress various interviewers. •Learn how to pre-process data •Understand the mathematics behind machine learning. •Start coding in Python & learn how to use it for statistical analysis. •Perform linear & logistic regressions in Python. •Carry out the cluster & factor analysis

  3. •Be able to create machine learning algorithms in Python using NumPy, stats models & sci-kit- learn. •Apply your skills to real-life business cases. •Use cutting-edge deep learning frameworks such as Google's TensorFlow to develop business experience while coding & tackling Big Data issues. •Untap the potential of deep neural networks. •Study underfitting, overfitting, training, validation, n-fold cross-validation & testing to improve Machine Learning algorithms. Learn how hyperparameters may help you perform much better. •Warm up your fingers as you will be eager to apply everything you have learned here to more & more real-life situations. •Challenges Of Data Science Technology •Problem-Identification •Obtaining the correct data •Data purification •A scarcity of professionals •Identifying the problem •Data accuracy •Quantity of data •Several data source •Inadequate domain knowledge •Communication of results •Data protection •Our Training Methodology •EduXfactor offers Data Science training that helps individuals master the skills & competencies associated with this career. The following are the unique features covered in this course.

  4. •Demo Training •Virtual Training & Offline Training •Flexible Batches •Professional Curriculum •Internship on Real-Time Projects •Industry Expert Faculties •100% Job Oriented Training •Course Completion Certification •Industry Success Case Studies •Life Time Video Access •Resume Building & Placement Assistance •Gain Hands-on Experience •Mock Interviews •Duration Of Our Training •Virtual/ Offline Training - EduXfactor offers offline/virtual training based on trainee requirements with a personalized curriculum, as our training duration is for (45 – 50) days. Our professional expert training helps you reach your career & enhance your skill on your particular course. •Internships & Training - EduXfactor offers data science training & internships to working professionals, aspirants under the guidance of professional experts. The program lasts for three to four months. Individuals might opt to work full-time or part-time from home or an in-house office. We offer the training program to individuals who want to sharpen their skills. •Additional Info

  5. •Data science is all about gathering, preparing, evaluating & visualizing data. It is a study about data that includes designing the methods of recording, storing data & then effectively extracting the needed information. Handling a large amount of data in modern business data science has become a vital part of IT. Organizations may utilize scientific approaches to execute tests and extract findings to give clear insight information about their prospective customers. •Enhances Your Career in Data Science: First, consider the suitable position you would like to work as a data scientist. It has a wide range of applications for data scientists, from machine learning engineers to enterprise architects. The following are the most common data science career pathways. •Data Analyst: The Data Analysts are entry-level data scientists who are just starting their careers. They analyze the data & write the recommendation to create their technical programs to solve the problems. It revolves around using the business data to generate actionable insights in C-suite. •Data Scientist: As Data scientists, experts develop a solution for critical problems & create programs to review data. They also create machine learning models for prediction, identifying patterns & trends in data with enterprise artifacts using technologies such as SQL, R, Hadoop, MongoDB, Tableau & more. •Data Engineer: Professional & experienced data engineers are qualified to develop ways for interpreting data at different scales. They are responsible for producing data pipelines & improving the flow of information. Data engineers will have technical skills in data preparation, statistics, data wrangling/munging, data visualization & programming languages such as Python, R programming, SQL, Java, and others. •Pay Range or Data Science: This domain is in great demand among e-commerce businesses & even start-ups. India is the second-highest range for recruiting various employment positions in this domain.

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