BECOME A GLOBAL CERTIFIED DATA SCIENTIST

Master Program In Industrial Data Science (MPIDS)

Mater Program In Applied Analytics (MPPA)

Program is certified under 

European Framework by International Association of Business Analytics (IABAC)

 

With 100% Placement Opportunity

ABOUT US

DV Analytics is a leading data science training and consulting firm, led by industry experts. We train candidates and bridge the gap between the industry requirements and the skills of the students.

We aim to build a relationship which is based on honesty, transparency, and trust to both our students as well the corporate. We take utmost care to deliver practical and industry-oriented knowledge to our candidates. 

Our training and consulting organization established for imparting innovative academic programs having direct relationship with the world and market force of the country for the last 12 years. The institute has enrolled more than 2000 candidates, out of which 95%+ is the success rate with 19 lacs PA. as an average salary. We have faculty strength from industry experts, and which leads to our training and placement success. Our students are from both technical and non-technical graduates who have been trained and placed in big MNCs like Morgan Stanley, Amazon, Flipkart, ANZ Bank, One Saving Bank, Citibank, HSBC, Honeywell, Standard Chartered Bank, Societe Generale, Commonwealth Bank of Australia, Flipkart and Ford Motors etc.     

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 the data using comes and strategize for decision makings. I t employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science and information science.

STEP BY STEP APPROACHES TO BECOME A SUCCESSFUL DATA SCIENTIST

STEP 1

  •      Learn DBMS PROGRAMMING  skills to manage complex data and transform data into meaningful business insights for decision support.

STEP 2

  •       Learn DATA ANALYSIS AND REPORTING  skills using advanced DATA VISUALIZATION applications.

STEP 3

  •       Develop quantitative analysis USING STATISTICAL INFERENCE AND ADVANCE ANALYTICS solutions to predict future outcomes based                         on historical patterns.

STEP 4

  •       Develop PREDICTIVE/PRESCRIPTIVE ANALYTICS to automate the strategic actions using MACHINE LEARNING AND ARTIFICIAL                                   INTELLIGENCE techniques.

PROGRAM PRE-REQUISITE

PROGRAM BENEFITS

  •  A minimum graduate degree (both technical and non technical grads)
  • Good problem solving ability
  • Good to have no prior coding or programming background
  •  100% career transition to data science in just 6 months.
  • Average salary hike at 150%
  • Abundance job opportunity in India and abroad
  • Data Scientist are in highly prestigious positions.
  • Gain highly paid job offers in the industry. 

DATA SCIENCE SKILLS AND 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 to structured from for data to analysis and reporting.

  • Excel Base and Advanced
  • SQL Base and Advanced Programming
  • Python base and advanced programming
  • SAS Base and advanced training
  • R Base and advanced training 
  • Alteryx

SKILL 2: REPORTING AND VISUALIZATION

Second step 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 AI-centric business use reinforcement learning for recommender systems.
  • Machine learning in python 
  • Deep learning on python, keras and Tensorflow
  • AI in python


OUR TRAINING MODULES

  1. MASTER PROGRAM IN INDUSTRIAL DATA SCIENCE (MPIDS)
  2. MASTER PROGRAM IN APPLIED ANALYTICS (MPAA)

PROGRAM HIGHLIGHTS

ELIGIBILITY

Any graduate, post-graduate and working professionals from both technical and non technical background can be a part of this program.

DURATION

6 months including training, assignments, projects, resume preparation, mock interviews and final placements.

LIVE TRAINING

Get all classes live and recorded and post class get access to the recorded session through our LMS system.

REAL TIME INDUSTRY PROJECTS

Real time Industry projects get Industry base real time projects hands-on from Banking, Retail, Insurance, E-Commerce, Telecom and Healthcare.

RESUME

Get customized resume with data science projects and skills applied.

SOFT-SKILLS

Get command to your English communication and develop soft skills for people interaction.

MOCK-INTERVIEWS

Appear mock interviews with Industry expert before getting into the corporate world.

JOB[REFERRALS]

Job[Referrals] Get 100% corporate referrals for placement.