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Data Analytics Course and Training in Kolkata

Explore comprehensive Data Analytics courses in Kolkata. Gain valuable skills through hands-on training and expert-led sessions. Unlock the power of data with our industry-relevant curriculum. Start your analytics journey today!

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24th March, 2024

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Elevate Your Skills: Data Analytics Training in Kolkata!

Data Brio Academy offers comprehensive classroom training on Business Analytics and Data Analytics courses in Kolkata. Our training is designed to provide students with the skills and knowledge needed to become proficient in analytics tools such as Python, MS Excel, Tableau, Power BI, and more. Our industry experts will guide you in areas such as Business Analytics, Clinical Research Analytics, Financial Analytics, Marketing Analytics, and more.

 

Our Data Analytics course content is developed by global industry experts who have contributed to International Standards, Patents, and MIT Open License in AI and Data Science. The course introduces participants to fundamental concepts of statistics and guides them through creating reports and data visualizations in Python, Tableau, and Power BI. You will also learn how to create predictive models using simple, multiple, and logistic regression, time-series forecasting, decision tree, optimization, and more.

 

All the topics in our Data Analytics course are explained with the help of hands-on practice with case studies and real-time data, enabling a deeper understanding of the underlying concepts of analytics. By the end of our training, you will have gained practical experience in data analysis and be prepared to enter the world of analytics.

 

Whether you are a beginner or an experienced professional, our Data Science Course in Kolkata is designed to provide you with the skills and knowledge necessary to succeed in the field of analytics. With our training, you can be confident in your ability to analyze and interpret data, create reports and visualizations, and make data-driven decisions to drive business success.

Join our Data Science Course in Kolkata today and take the first step towards a rewarding career in analytics.

 

Why Data Brio Academy?

Who this course is for:

Eligibility

Training and Placement

Upon completing our Business Analytics Certification program, participants will receive valuable support to enhance their job readiness and placement prospects. Our program includes assignments, projects, and placement assistance, including resume building and mock interviews to improve interview readiness. We conduct one-to-one discussions on job descriptions during interview calls to help participants better understand the requirements and prepare accordingly.

 

Our comprehensive support helps participants gain a better understanding of their capabilities and improve their readiness for job interviews. With our training, participants can attend interviews with complete confidence and increase their chances of success. We are proud to say that our students have been successfully placed in top companies, which is a testament to the quality of our training program. Students Successfully Placed in Companies:

Accredition & Affiliation

Business Analytics Course Curriculum

Program Structure for Data Analytics

Machine Learning Methods and Models

  • Population and Sample
  • Elementary Probability, Correlation
  • Point & Interval Estimation
  • Hypothesis Testing, Type I & Type II Error, P-Value
  • Basics of Inferential analytics
  • Normality Test
  • 1- Sample and 2-Sample Tests
  • HOV, ANOVA, Moods Median Test, Chi-square test etc.
  • 5 Assignments with data sets
  • Linear Regression
  • Assumptions and Diagnostics
  • Interactions and indicator variables
  • Descriptive & predictive modules
  • Logistic Regression
  • Clustering technique
  • Decision Tree
  • Case studies
  • Multivariate Analysis – Factor Analysis
  • Factor Analysis
  • Case studies
  • Time Series data
  • Methods – MA, Exponential Smoothening, ARIMA
  • Evaluating best forecasts

R Programming for Data Science

  • The R console, and the command interpreter
  • R scripts and running R scripts
  • The RStudio GUI and R Packages
  • Getting help in R and R functions
  • Basic object – Vector & operations
  • Data structures – matrices, lists, arrays, data frames
  • Manipulating data structures
  • Reading and writing data from and to different file formats
  • The apply family of functions and its uses in efficient data processing
  • Basic string and date processing
  • Generating and using (pseudo) random samples
  • Basic R built-in functions
  • Recycling, Control flow, Recursion
  • Conditions, loops
  • Vectorization & vector Operation
  • Writing and using user-defined functions
  • Simple charts and graphs – histograms,scatter diagrams,
  • Line plots,boxplots,pareto charts,etc.
  • Plot function
  • Descriptive statistics
  • Hypothesis tests and ANOVA
  • Linear Regression including interactions and indicator variables
  • Machine learning algorithms

Python Programming

  • Getting, installing & navigating the software
  • Anaconda IDE, Jupyter, Spider, Pycharm, Google colab
  • Statements and comments
  • Input, Output and Import
  • Python operators, variables
  • Python numbers, string
  • Python list, Tuple, String, Set, Dictionary etc.
  • Dataframes, Modules, Packages
  • Conversion between data types
  • Troubleshooting and error handling
  • Conditionals
  • Functions – new and built-in function
  • Flow Control – If – Else, For loop, while loop etc.
  • Break & control
  • Data Management, Visualization and Basic analytics using libraries – Pandas, Numpy, Scipy, Scikitlearn, Matplotlib, Seaborn, Plotly etc.
  • Descriptive statistics
  • Linear Regression including interactions and indicator variables
  • Machine learning algo in python – Classification & Regression, Decision Tree
  • Time-series forecasting

Analytics & Visualisation

  • What is analytics, data science, ML, AI?
  • Data – Different perspectives and types
  • Sources of Data – public data, business data
  • Structured and unstructured data
  • Central tendency, dispersion, cross tabulations
  • Association, covariance, correlation
  • Trend, seasonality, line chart
  • Histogram, boxplot, scatter plot, pareto chart etc.
  • Derived metrics & KPI
  • Using formula & data validation
  • Pivot table and charts, Conditional formatting
  • Lookups, error handling
  • Numerical and graphical summaries
  • PowerBI or Tableau workspace – dimensions & measures
  • Tables & charts, various data source connectivity
  • Filters – slicing & dicing of multi-dimensional data
  • GIS-based visualization, time-series data
  • Calculated fields, Interactive dashboards
  • Basics of RDBMS
  • Tables & queries (select queries – group by, order by, having etc.)
  • Keys & joins (left, right, inner, outer)
  • Python & Google colab
  • MS Excel or equivalent
  • Tableau / PowerBI
  • MySQL or equivalent
Our Certificates

Gain Industry Recognized Certificates in Business Analytics and Data Analytics

Our Placements

Our certified professionals, mentored by experts and connected to top employers, are shaping the future of data science at leading MNCs.