Welcome to the comprehensive guide on top data science training Institute in Bangalore at DV Analytics. In today’s data-driven world, the demand for skilled data science professionals is on the rise, and Bangalore has emerged as a key hub for data science training. 

DV Analytics

DV Analytics offers Data Science course in Bangalore, the most detailed and comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Data Integration, Data Mining, building Prediction models, Data Visualization and deriving the solution for the customer. Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Spark, Hadoop, programming languages like R programming, Python and SAS are covered extensively as part of this Data Science training.


DV Analytics is considered as the best Data Science training institute in Bangalore which offers services from training to placement as part of the Data Science training program with over 1600+ participants placed in various multinational companies including ANZ, One Saving Bank, Citibank, HSBC,Honeywell , Standard Chartered Bank, Societe Generale, etc. DV Analytics imparts the best Data Science training in Bangalore and is considered to be the best in the industry.

Importance of Data Science Training in Bangalore

placement assistance programs and a diverse range of industries contribute to the city’s significance as a prime destination for those seeking a successful career in data scienceData science training in Bangalore holds paramount importance due to the city’s status as a technology hub. With a thriving ecosystem of IT giants, startups, and multinational corporations, Bangalore offers a unique opportunity for professionals to gain industry-relevant skills. The training institutes in the city provide curriculum aligned with the latest tools and technologies, ensuring graduates are well-prepared for the dynamic demands of the tech landscape. 

Beyond technical knowledge, the training facilitates networking in a city known for its tech events and conferences. Additionally, the global recognition of Bangalore as an innovation hub enhances the credentials of professionals trained in data science, while .

Curriculum and Course Offerings at DV Analytics

Module 1– DBMS and Programming

  • Excel DBMS Reporting and Visualization
  • MS Access (RDBMS)
  • Excel VBA
  • SQL server / MS Access
  • SAS Base and Advanced
  • R Programming
  • Python Programming
  • Big Data/Spark Scala

Module 2 – Data Visualization

  • Tableau Data Visualization Beginner to Expert
  • Power BI Data Visualization Beginner to Expert
  • Qlikview Data Visualization Beginner to Expert
  • Qlik Sense Data Visualization Beginner to Expert

Module 3 – Data Mining & Data Science Program

  • Statistics and Mathematics Foundation Program
  • Excel Advanced Analytics
  • SAS Predictive Modeling and Machine Learning
  • R Predictive Modeling and Machine Learning & AI
  • Python Predictive Modeling and Machine Learning & AI (Keras/TensorFlow)

Module 4 – Assignments

Module 5 – Projects

Module 6 – Resume Prep And Interview Support 

Why DV Analytics?

  • DV Analytics Data Science Course Curriculum has been meticulously designed from basics to advanced topics to ensure that even the fresher’s to Data Science can master the concepts easily. We tailor the course content periodically according to the changing needs of the industry.
  • Faculty is the core strength of DV Analytics. Trainers at DV Analytics possess extensive real time experience, certified, have passion for training and considered to be the best in the industry. Request for a free demo to assess the quality of our training.
  • DV Analytics provides 40+ assignments covering theoretical concepts. We provide related assignments to ensure hands-on experience and our expert faculty will help you to complete the assignments. Evaluation will be done and scores will be shared for each assignment.

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