Advanced Program in Data Analytics (APDA) ...

Advanced Program in Data Analytics (APDA)

The Advanced Program in Data Analytics (APDA) delivers comprehensive training in data analytics with a focus on practical industry applications. This program provides a holistic skill set essential for addressing industry demands, emphasizing DBMS programming, data analysis, advanced visualization, storytelling dashboard creation, and advanced analytics for predictive model and strategic action building.

Program Objectives

The objective of this program is to acquaint participants with industry-specific problem-solving skills, focusing on various aspects of data analytics. These include proficiency in data analysis, reporting, visualization, programming, and advanced analytics techniques aimed at strategy formulation.

Course Curriculum

What you will learn in (APDA)?

Skill-1 DBMS Programming and Reporting

First step to learn DBMS Programming skills that helps in managing complex data model from various sources of information files. Combine these files into structured form for data to analysis and reporting.

Excel Base and Advanced
SQL Base and Advanced Programming
Python Base and Advanced Programming
SAS Base and Advanced Programming
R Base and Advanced Programming
Alteryx

Skill-2 Reporting and Visualization

Second step to develop descriptive analytics by transforming data into business KPI and present insights in a storytelling dash- board using advanced reporting and visualization applications.

Excel Reporting and Dashboard
Tableau Reporting and Visualizations
Power BI Reporting and Visualizations
Qlikview Reporting and Visualizations

Skill-3 Statistics and Advanced Analytics

Third step to Explore Data Analysis (EDA) using Advanced Analytics techniques to predict future outcomes based on history patterns.

Advanced Analytics in Excel
Advanced Analytics in SAS
Advanced Analytics in Python
Advanced Analytics in R

Open AI Language Model and Prompt Engineering:

ChatGPT, Google Gemini, Claude etc. for optimizing workflow models.

Soft Skills:

Spoken English, Speech control and corporate code of conducts.

Overview of APDA

Who Can:

Any graduates, masters, post-graduates, PhD in any discipline from a recognized university

Both working and non-working professionals can opt for careers in data science job opportunities.

Offered Roles:

Data Scientist, Data Analytics Consultant, Reporting Specialist, Business Analytics Consultant, Data Science Principal Consultant

Offered Salary Range:

Approximate Salary Range-
Freshers – 6-8 Lacs pa
1-3 Years Exp – 8-12 Lacs pa
4-8 Years Exp – 12-25 Lacs pa
8+ Years Exp – 25 lacs + pa

Industry Projects:

Banking
Telecom
Retail
Insurance
Healthcare

Unsure about how to begin?

Allow our Learning Advisor to assist you.

INDUSTRY REAL-TIME
DATA SCIENCE PROJECTS

Retail Marketing

The world we live in is evolving every day. There are significant changes in the retail market as opposed to how it was a decade or two ago. With sales worth trillions of dollars worldwide, retail industry is expected to develop even further in the coming days. Data Analytics can be used in the retail industry for various reliable decisions. Be it customer retention or sales prediction, we can develop models using data to provide the best possible solutions.

Targeted customer communication
Price optimization
Demand prediction and inventory management
Customer experience enhancement
Market trend prediction
Customer retention
Strategic business decisions to increase sales

Banking

The remarkable variations that have happened in the banking industry over the past few years are not momentary. Many organizations are adapting to the latest trends in technology and are changing their business structure for enhanced security and the best customer experience. To make better business decisions, banks need to connect various data from both structured and unstructured sources. Banking analytics aids in providing valuable insights by gathering, processing, and analyzing data.

Customer identification and acquisition
Portfolio analysis and risk management
Customer retention
Credit risk analysis
Collection analysis
Marketing analysis

Telecom

Telecommunication industry has encountered extraordinary changes over the past few decades. From satellite internet to 5G services, the industry continues to grow together with the advancements in technology. With every company racing to get the best services delivered to each customer, it is challenging to gain a competitive advantage. Telecommunication data analytics (telecom analytics) can help solve your complex business problems by finding the most optimal solutions, using various statistical approaches such as data mining, data manipulation, descriptive modeling, or predictive modeling. We can discern and analyze the existing trends to find the most favorable outcome. Data analytics can help you save operational costs, maximize your profits, increase the sales, and even manage risks.

Targeted customer communication
Price optimization
Demand prediction and inventory management
Customer experience enhancement
Market trend prediction
Customer retention
Strategic business decisions to increase sales

E-Commerce

Ecommerce refers to trade that happens over the internet. Through online stores, it is possible to purchase a wide variety of products using your computer, tablet, smartphone, or other smart devices. Since ecommerce businesses exist in a virtual space, they need effective ecommerce analytics to predict the changes in the market. Ecommerce analytics can provide actionable insights on various aspects such as interaction of shoppers, online shopping trends, and common interests. Using statistical approaches, we can anticipate changes in the market, analyse risk, and make better business decisions.

Information analysis
Inventory forecasting
Customer experience analysis and targeted customer communication
Fraud prevention
Marketing analysis
Price optimization

Healthcare

Healthcare is a collective term for hospital services, medical devices, pharmaceutical services, insurance services, and any other medical care provisions provided for an individual or a community. It is said that prevention is always better than cure. While we cannot always prevent an event from occurring, we can always be prepared for its arrival. By gathering data, analyzing trends, and predicting possible outcomes, the application of Data Analytics in the healthcare industry are limitless. The insights that we obtain from healthcare data can support in making decisions that can have a significant business impact.

Risk Analysis
Insurance claim analysis
Operations analysis
Patient care analysis
Performance monitoring
Operational and interactive dashboards

What requirement do you needs?

There are no prerequisites to attend this course online or ofline.
Elementary programming knowledge will be of advantage.

Training Supports & Benefits

Faculty are from IIT & IIM

Learn from the World’s Best Faculty & Industry Experts
Learn with fun Hands-on Exercises & Assignments
Participate in Hackathons & Group Activities

One to One Support

Dedicated Faculty
9AM to 6 PM Support
Participate in Hackathons & Group Activities

Career Assistance

Resume Building & Mock Interview Preparation.
We offer personalized access to our Learning Management System (LMS).
Moc Interview Practise + Real time Test

Our Student Placed in...

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