Advanced Program in Industrial
Data Science (APIDS)
...
Data Science (APIDS) ...
SQL, Bigdata and Scala Statistical Programming:
- DBMS Programming: SQL, Bigdata and Scala
- Statistical Programming: SAS,R and Python
- Reporting and Visualization: Excel, VBA, Tableau and Power BI
- Data Mining and Advanced Analytics: SAS/Excel/R/Python Advanced Analytics
- Machine Leaming and Al: SAS/R/Python/Keras/TensorFlow
Advanced Program in Data Analytics (APDA)
Course Curriculum
What you will learn in (APIDS)?
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
Second step is to develop descriptive analytics by transforming data into business KPI and present insights in a storytelling dashboard using advanced reporting and visualization applications.
- Excel Reporting and Dashboard
- Tableau Reporting and Visualizations
- Power BI Reporting and Visualizations
- Qlikview Reporting and Visualizations
- Advanced Analytics in Excel
- Advanced Analytics in SAS
- Advanced Analytics in Python
- Advanced Analytics in R
- Machine Learning in Python
- Deep Learning on Python, Keras and Tensorflow
- AI in Python
A learning that makes you responsible for
- Analyze large datasets to identify patterns, trends, and relationships.
- Clean and preprocess data to ensure its quality and suitability for analysis.
- Exploratory data analysis (EDA) techniques are employed to gain a deeper understanding of the data.
- Use visualization tools and techniques to present findings in a clear and understandable manner. Visualizations such as charts, graphs, and dashboards help stakeholders interpret complex data and make informed decisions.
- Visualization also aids in communicating insights effectively to non-technical stakeholders.
- Apply machine learning algorithms to develop predictive models and make data-driven decisions.
- Train models on historical data to recognize patterns and make predictions or classifications on new data.
- Use techniques include regression, classification, clustering, and deep learning, among others.
- Use Generative AI techniques, such as generative adversarial networks (GANs) or variational autoencoders (VAEs), are used to create new data instances.
- Employ generative AI for tasks like data augmentation, synthetic data generation, or image and text generation.
- Utilize cloud computing platforms like AWS, Azure, or Google Cloud to deploy machine learning models at scale.
- Cloud platforms infrastructure and services for model hosting, monitoring, and management.
- Facilitate seamless integration with other cloud-based services and enable automatic scaling based on demand.
- Cloud deployment ensures accessibility, scalability, reliability, and security of deployed models.
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.
- DV Analytics solutions include, but are not limited to, the following:
- 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.
- DV Analytics solutions can help you in the following:
- 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.
- Some of the Telecom analytics solutions that DV Analytics offers are:
- 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
- DV Analytics ecommerce solutions consists of:
- Information analysis
- Inventory forecasting
- Customer experience analysis and targeted customer communication
- Fraud prevention
- Marketing analysis
- Price optimization
Healthcare
- We at DV Analytics solutions can help your organization with:
- 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
- Learn from the World’s Best Faculty & Industry Experts
- Learn with fun Hands-on Exercises & Assignments
- Participate in Hackathons & Group Activities
- Dedicated Faculty
- 9AM to 6 PM Support
- Participate in Hackathons & Group Activities
- 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...

Students
Reviews
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Dv analytics is a good place to learn Data science enhance our technical skills. My experience at this center was really great. good training environment, Friendly work culture, supportive management.
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Five stars for DV Analytics! The courses are well-structured, and the institute's commitment to empowering students in data science and AI is evident. Grateful for the knowledge and confidence gained here.
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Best in-class institute for all data driven skills.
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DV Analytics is not just an institute, It is a temple of knowledge. The people there are so down to earth and supportive, They are one of the best institute that I have been to. The entire training was a fun session with lots of learning and creativity. Their team is very good and they have excellent people in the organization who supports us every step of our journey. The student mentors support us to make sure that we complete the assignment on time. The placement team supports us until we get placed. Every person in the organization has supported us in some way or the other. Thanks DV for shaping my future.
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Tophanranjan Khuntia
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The great course structure. I am very much satisfied the way classes are delivered. Suggest to join others looking for Data Science courses.🙂
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Abdul Sameer. Dv analytics
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It's a best institute to start a carrier in Data science, trust me you have the best teachers who are teaching here. "DV Analytics Training Institute" is a second home for me. I am a beginner to this field but before coming here i thought that this may be difficult for me, but no problem every path is hard before walking into it. Ask Dev sir for the guidance, I am 100% sure that he will guide you throughout your entire journey of Data Science. Thanks to DV analytics for providing me a nice platform where i am feeling much confident.
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Reflecting on my time at DV Analytics Training Institute, it was a truly quality and interesting experience. The curriculum was enriching, and the engaging learning environment made every aspect of the training enjoyable. Grateful for the valuable skills gained during this memorable journey
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