Data Science Training

A Data scientist is the top ranking professional in any analytics organization. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

What will you learn from this Data Science Course?

• Gain an in-depth understanding of data structure and data manipulation
• Understand and use linear and non-linear regression models and classification techniques for data analysis
• Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
• Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
• Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
• Understand the different components of the Hadoop ecosystem
• Learn to work with HBase, its architecture, and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning
• Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume
• Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
• Learn to analyze data using Tableau and become proficient in building interactive dashboards

What types of jobs will i be suited for after completing this course?

Who completes the Data Science certification course, you will have the skills that will help you land your dream job in Data Science. Jobs that are ideal for data science-trained professionals include:

• Data Analyst
• Data Scientist
• Analytics Manager/Lead
• Machine Learning Engineer
• Statistical Programming Specialist