9007116752
c3creativedomain@gmail.com
C-Cube
Centre of Computer Education
1) Learn Unique Trading Strategy.
2) Learn Price behavior from basic to advance level.
3) Learn Volume Analysis , Sentiment Analysis buying levels.
4) Learn Proper Entry & Exit points in the chart
5) Learn placing appropriate stoploss
Marketing Analytics Training in Kolkata
Need for Marketing Analytics Training
Our share trading course is a highly interactive and practical program. We use different Indian and Global stocks to demo nstrate the learning process. The objective of this share market coaching is to prepare investo rs and traders to trade like professionals. You’ll learn enough domain knowledge, expertise and be acquainted with the active trading world with an emphasis on Technical Analysis, Risk Management, Trading psychology and the use of case studies.
From our long years of trading experience, we have often seen that traders enter the market without the necessary knowledge and practice. As a result, they take excessive and unnecessary risks hoping for higher returns. Our share market learning center in Kolkata will teach you in-depth knowledge of trading and trade the market successfully with confidence.
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
Quick Contact Form
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