Why be a data scientist?
The data scientist is one of the trendiest professions of 2021. You can opt for a job career test to test yourself as it is one of the top professions in any analytical company. As a data scientist, you need to understand business problems, create a data analysis strategy, collect and format the respective data and apply algorithms using the right tools. Data science skills are transforming business and society today.
OBJECTIVES OF DATA SCIENCE COURSE
It helps you to master trending skills like statistics, hypothesis testing, data mining, clustering, data visualization, linear and logistic regression, machine learning and cloud computing.
SKILLS YOU WILL LEARN IN THIS COURSE:
- Understanding and implementation of Data structure and manipulation.
- Use of linear and nonlinear regression models.
- Logistic regression, clustering, dimensionality reduction, etc.
- Scientific and technical computing
- Mathematical computing
- Learn to work with hbase and mapreduce
- Master the principles of algorithms and applications of machine learning
- Master the concept of recommendation engine and time series modelling.
- Utilize cloud computing to scale up data processing
- Analyze data visually to form decisions
- Program effectively using correct tools.
COURSE CONTENT
- Data science with R
- Introduction to R programming
- Data structures
- Data visualization
- Statistics for data science
- Regression analysis
- Classification
- Clustering
- Association
ANALYTICS TECHNIQUES:
- Optimization techniques
- Advance statistics
- Data mining
- Predictive modeling
- Time series forecasting
- Machine learning
TOOLS AND LANGUAGES USED
- Python and R
- Tableau
- SAS online
PROJECTS TO BE COMPLETED IN THIS COURSE
- ECommerce: Products rating prediction for Amazon India
- Telecom: improve customer experiences for Comcast
- Workforce analytics: Deterioration analysis for IBM
- Retail: predict accurate sales for 40 stores of Walmart.
- Healthcare: learn how the healthcare industry uses data science to influence their business
- Insurance: understand how insurance experts make use of data science by working on a real-life project based on insurance.
- Banking: research how the top banks make use of data science to lead the competition.
- Stock market: learn how the popular stock markets make good use of data science and analytics to arrive at consumable data from complex data sets.
- Engineering: see how data science is used in the engineering field by taking up a case study.
FOR WHOM IS THE DATA SCIENCE COURSE SUITABLE?
Aspiring professionals of any educational background are suitable to undertake this data science course, including:
- Graduates or postgraduates in bachelors or masters degree
- Supply chain network managers
- IT professionals
- Analytics managers
- Business analysts
- Banking professionals
- Finance professionals
- Marketing managers.
REQUIREMENTS FOR THIS COURSE
Professionals who want to take this course should have:
- Basic knowledge of statistics
- Basic knowledge of any programming language
CAREER:
When you are done with this course, you will master the most needed skills that will help you get the job of your dreams in the field of data science. The ideal jobs for any data science trained professionals include the following:
- Statistical programming specialist
- Data analyst
- Data scientist
- Machine learning engineer
- Statistical programming specialist