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Our Training - Process

  • 01.Career Advise
  • 02.Assignments
  • 03.Evaluation
  • 04.Live Projects
  • 05.Interviews
  • 06.Placements

Advance Diploma in Data Science & Analytics- Curriculum

    • Introduction to Data Science.
    • Python Vs R for data science.
    • Data Analytics Introduction.
    • Business Intelligence Introduction.
    • How all dimensions work together? Discussion on Real time Case studies.
    • Data Science lifecycle.
    • Anaconda Installation.
    • Understanding different components of Anaconda.
    • Introduction to Python
    • Python Editors & IDE’s (Pycharm, Jupyter, Spyder etc…)
    • Understand Jupyter notebook & Spyder
    • Installing & loading Packages & Name Spaces.
    • Introduction to strings, Tuples, Lists, Dictionaries.
    • List, Set and Dictionary Comprehensions.
    • File Handling in Python.
    • Modules in Python.
    • Control flow & conditional statements.
    • OOPs concepts & Function Handling in Python.
    • Exception Handing in Python.
    • Introduction to Python Libraries NumPy, scikit-learn, Pandas, Matplotlib, Seaborn etc.
    • Data Cleansing.
    • Stripping out extraneous information
    • Normalizing data
    • Formatting data
    • Important Python modules for data manipulation (Pandas, Numpy, re, math, string, datetime etc)
    • Data Handling- Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type conversions, renaming, formatting etc.
    • Descriptive statistics, Frequency Tables and summarization
    • Univariate Analysis- Distribution of data & Graphical Analysis.
    • Bivariate Analysis- Cross Tabs, Distributions & Relationships, Graphical Analysis.
    • Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc.
    • Mean, Measures of Central Tendencies and Variance
    • Probability Distributions, Normal distribution, Central Limit Theorem
    • Inferential Statistics -Sampling - Concept of Hypothesis Testing
    • Statistical Methods - Z/t-tests (One sample, independent, paired), Anova, Correlation and Chi-square
    • Data Pre-processing Revision
    • Regression Models – Linear, Logistic etc.
    • Classification- Naïve Bayes, Decision Tree and Random Forest
    • Cluster Analysis – K-Means, Hierarchical (Dendograms) etc.
    • Introduction to Neural Networks and Deep Learning
    • Gradient Descent Concepts
    • Introduction to Perceptron and Neural Network Types
    • Modelling Aritificial Neural Networks
    • Modelling CNN and RNN
    • Apply ML and DL techniques with Case Studies.
    • Time-Series analysis Introduction.
    • Introduction to NLP
    • Elaborating NLP Steps
    • Introduction to Text Processing & Text Classification
    • Sentiment Analysis
    • Data Preparation using Tableau Prep
    • Data Visualization
    • Business Intelligence tools
    • Introduction to Tableau
    • Tableau Architecture
    • Tableau Server Architecture
    • Features of Tableau Desktop
    • Connect to data from File and Database
    • Types of Connections
    • Joins and Unions
    • Data Blending
    • Tableau Desktop User Interface
    • Introduction to Dashboards
    • The Dashboard Interface
    • Dashboard Objects
    • Building a Dashboard
    • Dashboard Layouts and Formatting
    • Power BI – Introduction
    • Download, Install and Activate new features in Power BI
    • Creating a Column Chart in Power BI
    • Create a Pie Chart in Power BI
    • Create a DONUT CHART in Power BI
    • Create a Funnel Chart in Power BI
    • Create a Ribbon Chart in Power BI
    • Basic Map in Power BI
    • Creating a Filled Map
    • Map with Pie Chart
    • Format a Map
    • Creating a Table
    • Formatting a Table
    • Conditional Formatting in Table
    • Aggregation in Table
    • Matrix
    • Conditional Formatting in Matrix
    • Introduction to Cards and Filters in Power BI
    • Number Card in Power BI
    • Text Card in Power BI
    • Formatting a Text Card in Power BI
    • Date Card
    • Date Card (Relative Filtering)
    • Multi-Row Card
    • Filters and Types
    • Drillthrough in Power BI
    • Slicers in Power BI
    • Advanced Charts in Power BI
    • Animated Bar Chart Race
    • Drill down donut Chart
    • Drill down Column chart
    • Scroller in Power BI
    • Sunburst Chart in Power BI
    • Histogram in Power BI
    • Insert Image in Power BI
    • Insert Text in Power BI
    • Insert Shape in Power BI
    • Insert Buttons in Power BI
    • Web URL Action in Power BI
    • Page Navigation Action in Power BI
    • Bookmark Action in Power BI
    • Drill through action in Power BI
    • Create a Report in Power BI
    • Create an account in Power BI Service
    • Publish Report to Power BI Service
    • Export Report to PPT, PDF, PBIX
    • Comment, Share and Subscribe to Power BI reports
    • Create a Dashboard in Power BI Service
    • Problems in Power BI Dashboard and its Solution
    • Automatically refresh reports in Power BI Service
    • Introduction To M Language
    • Writing code in M Language
    • Covid19 Data Analysis
    • Netflix Data Analysis
    • Google Stock Price Prediction
    • Crypto Currency Price Prediction
    • Taxi Fare Price Prediction
    • Face Detection Application
    • Image Classification
    • Mall Customer Segmentation
    • Twitter Sentiment Analysis

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