Who is a Data scientist?
A data scientist is a professional responsible for collecting, analyzing, and interpreting huge amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, statistician, and computer professional. This job requires the use of advanced analytics technologies, including machine learning and predictive modeling.
A data scientist requires large amounts of data to develop hypotheses, make inferences, and analyze customer and market trends. Basic responsibilities include gathering and analyzing data, using various analytics and reporting tools to detect patterns, trends, and relationships in data sets.
Importance of data science:
Data science is a highly interdisciplinary practice involving a large scope of information that usually considers the big picture more than other analytical fields. In business, data science aims to provide intelligence about consumers and campaigns and help companies create strong plans to engage their audience and sell their products.
“The goal is to turn data into information, and information into insight.”
About the Data Scientist Masters Program
Data Science Masters Program makes you proficient in the tools and systems used by Data Science Professionals. It includes Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
There are 7 courses in this Data Science Masters Program:
1. Python Statistics for Data Science Course
2. R Statistics for Data Science Course
3. Data Science Certification Course using R
4. Python Certification Training for Data Science
5. Apache Spark and Scala Certification Training
6. Deep Learning with TensorFlow 2.0 Certification Training
7. Tableau Training and Certification
What will you learn from this course?
Upon completing this course, you will learn about Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib & 22 More Skills.
What is Edureka’s master program?
This Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into Data Scientist. This immersive Data Scientist program starts with Data Science training to master important Data Extraction, Exploration Techniques, and Machine Learning Algorithms.
It also helps you gain expertise in Python to deal with Big Data, followed by becoming adept at Apache Spark and its machine learning capabilities and becoming proficient in trending skills about AI & Deep learning using Tensorflow and finally ends at Data Visualization using Tableau. Individual courses at Edureka focus on specialization in one or two specific skills; however, if you intend to become a Data Scientist, this is the path you should follow.
Why should you enroll in the Data Scientist Masters program?
Data Scientist Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Data Management, Statistics, Machine Learning, and Big Data together with hands-on experience of tools & systems used by Data Scientists, including Data Visualisation using Tableau. Edureka will be by your side throughout the learning journey.
Syllabus for the Data Scientist Masters Program:
1. Python Statistics for Data Scientist Masters – SELF PACED
Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on Python’s concepts; it will help you perform operations on variable types using Pycharm. You will learn the importance of Python in a real-time environment and will be able to develop applications based on the Object-Oriented Programming concept. End of this course, you will be able to develop networking applications with suitable GUI
2. R Statistics for Data Scientist Masters – SELF PACED
You will be introduced to data and its types and accordingly sample data and derive meaningful information from the data in different statistical parameters. Learn about probability to interpret & solve real-life problems using probability. You will get to know the power of probability with Bayesian Inference. Then in the statistical inference module, you will draw inferences from present data and construct predictive models using different inferential parameters (as the constraint). Also, you will learn the different methods of testing the alternative hypothesis, clustering (the basis for machine learning), and Regression Modelling using statistics.
3. Data Science Certification Course using R – LIVE CLASS
Edureka’s Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining, and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation, and HR.
4. Python Certification Training for Data Scientist Masters – LIVE CLASS
Edureka’s Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming, and various Python libraries such as Pandas, Numpy, Matplotlib, which are essential for Data Science. Edureka’s Python Certification Training course is also a gateway towards your Data Science career.
5. Apache Spark and Scala Certification Training – LIVE CLASS
Designed to meet the industry benchmarks, Edureka’s Apache Spark and Scala certification is curated by top industry experts. This Scala certification training is created to help you master Apache Spark and the Spark Ecosystem, including Spark RDD, Spark SQL, and Spark MLlib. This Apache Spark training is live, instructor-led & helps you master key Apache Spark concepts with hands-on demonstrations. This Apache Spark course is fully immersive, where you can learn and interact with the instructor and your peers. Enroll now in this Scala online training.
6. Deep Learning with TensorFlow 2.0 Certification Training – LIVE CLASS
Edureka’s Deep Learning with TensorFlow 2.0 Certification Training is curated with experienced industry professionals’ help as per the latest requirements & demands. This course will help you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. You will be working on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and many more.
7. Tableau Training and Certification – LIVE CLASS
Business Intelligence Industry Experts curate Edureka’s Tableau Training & Certification Course, and it covers in-depth knowledge on Tableau Prep Builder, Tableau Desktop, and Tableau Online. Throughout this online instructor-led Tableau Training, you will be working on real-life industry use cases in Retail, Entertainment, Transportation, and Life Sciences domains.
Data Scientist Masters Program Capstone Project
Build a Machine Learning Model to predict whether an owner will initiate an auto insurance claim in the next year. For this to be effective, all owners’ past data and other claims need to be utilized to make the most probable prediction.
There are no prerequisites for enrollment in the Master’s Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data scientists, Masters Program is designed and developed to accommodate various professional backgrounds.
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- Masters program
- Instructor-led Self-paced
- Paid Course (Paid certificate)
- Python R Scala
- Apache Spark Tableau
- Apache Spark Training Data Science Data Science with 'Python' Data Science with 'R' Deep learning Machine learning Scala Tableau TensorFlow