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The Data Science Certification course in Bangalore gives you an insight into data and a visualization of various datasets and allows you to acquire in-depth knowledge of data science through our live-instructor led sessions. With Edureka’s training in Bangalore, you will also learn the importance of data science, what is data science and its lifecycle, tools of data science, the era of Data Science and R, what is machine learning, extraction, wrangling, and exploration. Click here to know more about the course curriculum.
Edureka provides the most extensive Data Science course at the market in Bangalore, covering the full Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleaning, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, Building Prediction Models, Data Visualization and Customer Deployment. The learning objective of this course is to have in-depth knowledge of Data Science lifecycle, and real-time industry projects which will be executed in Rstudio. Strong participation of SME throughout the data science training to learn industry norms and best practices Click here to know more about the course description.
Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
Data Science Certification Training is designed by industry experts to make you a Certified Data Scientist. The Data Science course offers:
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes. Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
Data Science Training will help you become a Data Science Expert. It will hone your skills by helping you to understand and analyze actual phenomena with data and provide the required hands-on experience for solving real-time industry-based projects.
During this Data Science course, you will be trained by our expert instructors to:
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
There is no specific pre-requisite for Data Science Training. However, a basic understanding of R can be beneficial. Edureka offers you a complimentary self-paced course, i.e. "R Essentials" when you enroll in Data Science Training.
Edureka’s Data Scientist with proficiency in R Certificate Holders work at 1000s of companies like
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Edureka's Data Science Training includes real-time industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Data Scientist roles.
Project#1: Movies Collection
Industry: Entertainment Industry
Description: The goal of this Use-Case is to explore the movie dataset, given the parameters like: "duration", "movie title", "gross collection", "budget", "title year", etc. You will explore the following:
Project #2: Real Estate Price Prediction
Industry: Business Intelligence and Analytics
Description: The goal of this Use-case is to make predictions using Real Estate market data. The dataset contains the of the price of apartments in Boston. This data contains values such as "crime rate", "age", "accessibility", "population" etc. Based on this data, decide on the price of new apartments.
Project #3: Diabetes Prediction
b>Description: The Use-Case focuses on making predictions based on the patient’s characteristic data set, the dataset contains attributes such as "glucose level", "blood pressure", "age" etc. At last, the goal is to make a high accuracy machine learning model to predict, whether a patient is Diabetic or not.
Project #4: Recommendation System for Grocery Store
Industry: Food Retail Industry
Description: The Use-Case scenario is to create recommendations for customers of a grocery store based upon historical transaction data, which could recommend preferable articles.
Project #5: Twitter Analytics
Industry: Social Media Analytics
Description: This Use-Case focuses on social media analytics. The problem can be defined as Measuring, Analyzing, and Interpreting interactions and associations between people, topics and ideas. The dataset to be analyzed is captured by Live Twitter Streaming. You have to do the following:
Project #6: Air Passengers Forecasting
Industry: Commercial Aviation
Description: This Use-Case is about analyzing the data and applying time series model to forecast the number of bookings an Airline firm can expect each month. The dataset we will analyze contains monthly totals of international airline passengers between 1949 to 1960.You have to make informed decisions on staffing, hospitality and pricing for tickets.
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