BECOME A
DATA SCIENTIST
Join Master Program in Industrial Data Science (MPIDS)
with 100% guaranteed placement opportunities*
Program is Certified under European Framework by International Association of Business Analytics (IABAC)
Register For Our Free Demo!
About Data Science
Data Science signifies data gathering, analysis and interpretation from a structured and unstructured form of the data using scientific statistical methods, process and algorithms to understand the patterns within data and interpreting the future outcomes and strategize for decision makings. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.
Mr. Debendra Das has 18+ years of Industry experience in Data Science field and has worked across Healthcare, Telecom, Retail Market and Banking Credit Risk domain. We have trained and placed more than 2800+ candidates in the last decade.
Know About Data Science
- Next Demo Starts on Sunday 12 PM
- May 5, 2024
STARTS ON: Starts on Sunday 12 PM
ENDS ON: Mar 17, 2024, 1:00 PM (IST)
VENUE: Online
Register to get all your answers, LIVE on 17th Mar, Sunday at 12 PM.
About This Master Program in Industrial Data Science (MPIDS)
Master Program in Industrial Data Science (MPIDS) course is designed based on industry practical
approaches with 100% placement. In this program you start with real-time project experience from
industry like Banking, Telecom, Retail, and Insurance Industry projects where you get an opportunity
to know the business domain end to end use of data science applications.
In this program you will learn all stages of data analytics process right from descriptive analytics describes what has happened over a given period. Diagnostic analytics focuses more on why something happened. Predictive analytics moves to what is likely going to happen in the near term. Finally, prescriptive analytics suggests a course of action.
In this program you will learn all stages of data analytics process right from descriptive analytics describes what has happened over a given period. Diagnostic analytics focuses more on why something happened. Predictive analytics moves to what is likely going to happen in the near term. Finally, prescriptive analytics suggests a course of action.
Program Success
Speakers
------------------------------------
Debendra das
Co Founder
18+ Years of Analytics experience in BFSI, Telecom and Retail & Marketing domain. Demonstrated expertise in complex database management reporting, data visualization and advanced analytics
Venkat
Co Founder
Venkat holds rich industry experience as an applied Data Analyst and Data Scientist. Venkat has 11 years of experience as a Data Analyst and Data Scientist. Venkat has 6+ years of experience as a Corporate Trainer.
Data Science Skills & Applications
Skill-1: DBMS Programming and Reporting
First step in Data Science to learn DBMS Programming skills that helps in managing complex data model from various sources of information files. Combine these files into structured form of 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 to summarize and analyzing business KPI Metrics into storytelling dashboards 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
Develop the methods using statistics and data exploration techniques to analyze the historical data patterns to predict the future outcomes.
- 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 AI-centric businesses use reinforcement learning for recommender systems.
- Machine Learning in Python
- Deep Learning on Python, Keras and Tensor flow
- AI in Python
Key Highlights
Duration
6 months including training projects, resume preparation, mock interviews and final placements.
Eligibility
Any graduate, postgraduate and working professionals from both technical and nontechnical background can be a part of this program .
Live Training
Get every class as live training .
Live Recordings
Every class is live and recorded. Post class get access to class videos.
Real-Time Projects
et industry base real time projects hands-on.
Soft Skill
Get training on English communication and soft skills.
Resume
Get end to end resume ready with profile and projects that leads to data science applications.
Mock-Interviews
Appear multiple mock-interviews with industry experts.
Job Referrals
Get 100% job referral to best MNCs.
Get the right direction to get a high paying job like
- Data Scientist
- Data Architect
- Business Analyst
- Data Engineering
For any queries,
Email us info@dvanalyticsmds.com
Call us (+91) 9019030033
Our amazing team will reply within 24 working hours.