Data Analytics refers to the methods used to analyze data to enhance productivity and business gain. Data is extracted from various sources and is cleaned and categorized to analyze various behavioral patterns. The techniques and the tools used vary according to the organization or individual. So, in short, if you understand your Business Administration and have the capability to perform Exploratory Data Analysis to gather the required information, then you are good to go with a career in Data Analytics.
Data analysts translate numbers into plain English. Data Analyst delivers value to their companies by taking information about specific topics and then interpreting, analyzing, and presenting findings in comprehensive reports. So, if you can collect data from various sources, analyze the data, gather hidden insights, and generate reports, you can become a Data Analyst.
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PRIMAX EDUACADEMY
(Under Primax Educational Trust)
Kengeri, Bengaluru, Karnataka, India.(Registered under Ministry of Micro,Small & Medium Enterprises)
Professional Courses
Postgraduate Certificate in Data Analytics
Postgraduate Certificate in Data Analytics
Market Information and Need for PGP in Predictive Business Analytics
Decision making is increasingly becoming data-driven within the commercial sector and the government. There is a large quantity of data readily available for this at present. Smart devices connected to the internet bring more input sources, apart from those generated by humans as they interact with services and one another. Data-driven decision making involves the analysis of large volumes of data to identify patterns and build predictive models. This requires combining skills ranging from computing, statistics, mathematics and is broadly labeled data science. This program also equips participants with a comprehensive understanding of advanced data science tools so that they can effectively manage and lead high-performing data science and analytics teams.
Growth & Career Remuneration
According to Business Insider, all Indian organizations face a data analysis about their product. This finding is a clear calling for the need for Data Analyst. Job opportunities in this field are ample, with a 98% increase in Data analytics job postings in Production, Financial Services, Marketing & HR. On average, a Data Analyst can expect a salary of ₹4,04,660 (IND) or $83,878 (US). As experts, data analysts are often called on to use their skills and tools to provide competitive analysis and identify trends within industries.The predictive analytics field encompasses many roles at various levels, including:
● Predictive Analysis Professional
● Data Scientist
● Management Analyst
● Market Researcher
● Project Manager
● Business Analyst
● Sales and Market Analyst
● Data Management Operator
● Customer Service Analyst
Who Can Join ?
Graduates (UG/PG)
Working Professional’s
Faculty & Research Scholars
Data Analyst
Curriculum
- Research Methodology
- Data Analysis Using SPSS & AMOS
- Financial Reporting, Statements and Analysis using EXCEL
- Statistical Concepts & Data analysis using R
- Statistical and Data Analysis using STATA, EVIEWS, PLS, TABLEAU, LaTex & GRETL
Tools
SPSS, AMOS, PLS, EVIEWS, STATA, EXCEL (Demo- Students Version)
Certification
Students may take other course such as Machine Learning, Python, Tableau, SAS etc.
Course Fee
Rs. 60,000 (Including GST) (Students may pay in three Instalment)
KEY HIGHLIGHTS
- Course Start Date
Every July
- Course Duration
6 Months + 2 Months (Project)
- Mode of Delivery
(Online/ offline/ Blended)
- No. of Hours
250 hours
- Projects
2 Months Live Projects
- Level
Basic to Advanced
- Certificate offered by
Department of Industry Interface Jain (Deemed-to-be-University)
LEARNERS OBJECTIVE
● To understand and appreciate the Data Analysis process and able to run analysis with software likeSPSS, AMOS, R, EViews and so on.
● To derive meaningful insights and then convert into a special input for decision making
● To apply various analytical techniques to come up with the optimal solution.
● To demonstrate the skills required for adaptability and adaptability in the ever-changing business environment.
● To learn the key leadership skills required to hold challenging managerial positions.
● To make informed and ethical decisions based on sound domain knowledge and understanding of business ethics.
● To demonstrate the ability to add value for the employers, society, and the economy as a whole.
● To apply knowledge and skills to solve business problems though predictive analytics.
● To analyse, evaluate and take data driven business decisions using advance statistical techniques.
feel free to contact us!