Advanced Program in Industrial
Data Science (APIDS) ...

SQL, Bigdata and Scala Statistical Programming:

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.

Course Curriculum

What you will learn in (APIDS)?

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 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

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

Skill-4 Machine Learning and Artificial Intelligence

Automate actions from known patterns using supervised and unsupervised machine learning, which can help you uncover new data patterns. Develop Al-centric businesses use reinforcement learning for recommender systems.

Machine Learning in Python
Deep Learning on Python, Keras and Tensorflow
AI in Python

A learning that makes you responsible for

Data Analysis and Visualization:

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.

Machine Learning & AI:

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.

Generative AI Techniques:

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.

Cloud Computing:

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.

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...

Students Reviews

DV Analytics Training Institute boasts a friendly work culture that fosters collaboration. The training environment is conducive to effective learning, with supportive instructors and a management team that genuinely cares about your CAREER
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tarun somisetty

I saw DV Analytics is a best platform to build your career. Deb Sir and other faculty of this institution are very friendly and helping in nature. They guide us in every steps. They teach us in easy way how we catch this topic very thoroughly. After every session they provide us assignments which will make us strong in technical. Believe me, I am from Commerce background, but in this technical I am strong now because of faculties. They provide us materials, recording videos. Recording videos has no limits. Multiple times you can listen it and make notes and do assignments in time. That will help you any company you go i.e Product based or Service based. After study they provide how to create a profile in Linked In, Resume Preparation for your interviews. That's all about DV Analytics. Being a Data scientist DV Analytics is a best platform. So, if you want to grow your career join DV Analytics as soon as possible. Thank You !
Sagar Mohakul

I am a DV Student and having a great experience of learning. I have built a good programming skill. Everything seemed impossible and I was not so confident about my programming skills before joining DV but now the things have changed....I am confident enough with my programming skills. A Special Thanks to Dev Sir our Teacher who worked so hard for each and every student to be successful
Abdul Sahid

Dv is the great place to learn Data Science. Dev Sir is very committed to every student's success. All classes are live, and all doubts are clarified. The live projects are the key point to achieve success. The class material and assignments is more than adequate for you to grasp all concepts. I would highly recommend for anyone interested in Data Science to join DV analytics
Abhisek Debata

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silpa Ajithkumar
I would strongly recommend DV Analytics to other individuals who require data science skills with limited time availability. The course offered by them are well structured as per the demand of recruiters, so any non IT background can easily grasp the knowledge.Thanks to all DV staffs and specially Dev sir for excelling us towards success 😊
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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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vidhya Lakshimi Thamilselvun
Any one who wants to get into the field of Data can definitely check this place. At this place you wont just learn a lot, the placement support DV gives its students is insanely strong. Deb sir and Venky sir are genius in their field and to learn from them was just amazing experience.
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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.
Harsha Damaraju

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srinija 2000

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
Dvanalytics Sales 1

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Karthik Mutyala
DV Institute is a place which you can look up for carrier change and also personally for me it's a course content and delivery is all what let you into a good profile as Data Analyst, DV is one of the India's best institute as many training institute and online platform are available these day but a content is not been well aligned in most of these places as my personal experience you will end up with no results after working hard, however when it's comes to DV content is well aligned with industry requirements and assignments are been designed in such a fashion like if you practice those no-one, can stop you bagging a very good offer,as it's all about developing a skill set and don't worry at all about anything if you do your part. DV will always been supportive to every student.
raina goswami

DV is best choice if you are deciding to build Data Science as a professional career. The best thing about DV is the Mentor- Mentee Strategy adopted by them for hand holding of each student till they get Placement. Further, they conduct various Trainings/ Workshops by Industry Experts who helps students to understand the use of various Data Science Tools in real world.
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raj pahan

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Prasantika Mohapatra