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Marketing Analytics Training in Kolkata
What is Marketing Analytics Training Course ?
Marketing Analytics Training in Kolkata is essential for understanding how to use data to improve marketing strategies. Firstly, this Marketing Analytics Training course in kolkata teaches you how to track campaigns, measure results, and make data-driven decisions. Moreover, this Marketing course covers tools like Google Analytics and Excel to analyze customer behavior. As a result, a Marketing Analytics Course helps businesses reach the right audience and increase sales. Finally, it is ideal for anyone looking to build a career in marketing and analytics.
So join our Marketing Analytics Training in kolkata Bootcamp now and excel in your Marketing Career with hands-on Training and Internship offer.
Need for Marketing Analytics Course
The need for Marketing Analytics Training in kolkata is growing as businesses rely on data to improve their marketing strategies. For example, it helps in understanding customer behavior and campaign performance. Moreover, this training teaches how to analyze data and measure the success of marketing efforts. In addition, it covers tools like Google Analytics and Excel, which are essential for tracking results.
A Marketing Analytics Course in kolkata also helps businesses make smarter, data-driven decisions. As a result, companies can target the right audience and increase their return on investment. Furthermore, learning these skills opens doors to career opportunities in marketing and data analysis. Ultimately, it is a valuable course for anyone aiming to excel in modern marketing.
What does this Course have to offer ?
- Complimentary Python Programming Bootcamp
- Designed for Working Professionals and Students
- 20+ Case Studies and 5+ Industry Projects
- Dedicated Student Support
- Exclusive Job Assistance
- Live coding classes and profile building workshops
- Programming – Python , SQL
- Statistics – Linear Algebra , Probability & Statistics
- Data Manipulation & Analysis – Data Wrangling , Data Visualization , Exploratory Data Analysis (EDA):
- Machine Learning Algorithms – Supervised Learning , Unsupervised Learning:
- Opportunity to wok on live-projects as part of Internship on reputed Companies.
- Internship work certificate
- Certification on Python from IIT Bombay
- Certification on Diploma in Data Science & ML from Central Govt. of India
Both the below mode of Training is available.
Online Mode – Live Class
Offline Mode
Course Curriculum
- Overview of marketing analytics and its importance
- Setting up a marketing analytics project
- Data collection and preparation in Excel
- Practical exercise: Create a sample marketing analytics dataset in Excel
- Introduction to descriptive analytics
- Measures of central tendency (mean, median, mode)
- Measures of variability (range, variance, standard deviation)
- Summary statistics in Excel
- Practical exercise: Calculate summary statistics for a sample marketing dataset in Excel
- Introduction to inferential statistics
- Confidence intervals and hypothesis testing
- T-tests and ANOVA
- Interpreting results in Excel
- Practical exercise: Conduct a t-test and ANOVA analysis in Excel
- Introduction to regression analysis
- Simple and multiple linear regression
- Assumptions of linear regression
- Interpreting results in Excel
- Practical exercise: Perform a simple linear regression analysis in Excel
- Introduction to data visualization
- Types of charts (bar, pie, line, scatter)
- Creating charts in Excel
- Best practices for data visualization
- Practical exercise: Create a chart to visualize a sample marketing dataset in Excel
- Introduction to market segmentation
- Types of market segmentation (demographic, geographic, behavioral)
- Creating segments in Excel
- Practical exercise: Segment a sample marketing dataset using demographic variables in Excel
- Introduction to predictive modelling
- Types of predictive models (logistic regression, decision trees, random forest)
- Building and evaluating predictive models in Excel
- Practical exercise: Build and evaluate a simple logistic regression model in Excel
- Introduction to optimization and simulation
- Types of optimization problems (maximize, minimize)
- Creating simulations in Excel
- Practical exercise: Optimize a marketing budget using simulated data in Excel
- Introduction to big data analytics
- Working with large datasets in Excel
- Using big data tools (e.g. Power BI, Tableau) for analytics
- Practical exercise: Load and analyze a large dataset using Power BI
- Advanced topics in marketing analytics (e.g. text analysis, sentiment analysis)
- Using R or Python for advanced analytics
- Case studies in marketing analytics
- Group discussion and project presentation
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Eligibility Criteria
- Graduates or Colleges Students from any discipline
- No prior work experience required
- No prior coding experience or tech know-how required
Best Suited For
- Marketing Professionals
- Recent Graduates
- College Students