Data Analytics Training Program

Transcription

1 Data Analytics Training Program In exclusive association with Trainings 20,000+ Participants 10,000+ Brands 45+ Countries [Since 2009] Training partner for

2 Who Is This Course For? Programers Willing to learn Python as 1st Language Non-Programers Experienced in any Programming Language Course Highlights Govt. of India (Vskills Certified Course) 3 hrs/week Live Instructor-Led Online Sessions Lifetime Access To Updated Content and Videos IIT & IIM Faculty 15 days of Project Work Placement Support Personalised Training Program 24X7 Support On Discussion Forum Weekly Assignments Top Data Analytics Tools covered Specialize in R, SAS & Python Industry s Top Data Analytics Advisors Course Advisors Vishal Mishra CEO & Co-Founder Vishal is a Technology influencer and CEO of Right Relevance. (A platform used by millions for content & influencer discovery) Manas Garg heads the Analytics for Marketing at Paypal. He takes Data Driven Decisions for Marketing Sucess. Manas Garg Architect

3 Course Instructor Ajay Ohri has a MBA from Indian Institute of Management Lucknow. In addition he did graduate courses at University of Tennessee, Knoxville. He has written multiple books, Articles & Journals on R for Business Analytics, Python, Approach to Data Science etc. Course Curriculum Courses A streamlined range of courses with hands-on-experience to help you learn and implement data analytics for career or business growth. Data Analytics What is Data Science? Introduction to Data Science Introduction to Cloud Computing Introduction to Data Driven Decision Making Business Strategy Models Introduction to git and github Tools and Techniques in Data Science Introduction to Tools and Technqiues in Data Science Lifetime Value Analysis RFM Analysis Data Analytics Languages & Environment Introduction to R R Base Software, CRAN, Packages Interfaces to R, GUIs RStudio The IDE Basics in R Vectors in R Date and Time Values Handling Missing Values in R Matrices and Data Frames in R Looking at Data in R Introduction to SAS SAS History and Overview SAS University Edition Software Interfaces to SAS Data Input in SAS Keep and Drop Variables Basics in SAS - Data Step and Libname Basics in SAS - Procs

4 Introduction to Python Part 1: Part 2: Data Structures Scientific Packages of Python Introduction to Jupyter Other Python Interfaces Data Structures Strings Datetime Numeric Lists Tuple Dicts Loops Functions Classes Using functions from Packages in Python Math Package DatetimePackage OS Package SciPy Package NumPy Arrays Slicing Arrays Stacking Arrays Other Packages SQL SQL Orientation Introduction to Structured Query Language Introduction to RDBMS CAP Theorem Introduction to Queries Create,Insert and Select Queries Update and Delete Queries Using SQL with a RDMS SQL Joins Sub-Queries Case Operator Using SQL with R Using SQL with Other Platforms (HIVE, Python) Course:Course:Course: Statistics for Data Analysts Basic Statistics Course Curriculum Central Tendency Dispersion Central Limit Theorem Normalization Advanced Statistics Distributions Probability Bayes Theorem Hypothesis Testing Course:Data Analytics using Python Introduction to Pandas Introduction to Pandas Data Import Data Inspection Data Quality Data Manipulation Using Pandas for Data Analysis Data Manipulation Data Querying Data Summarizing Data Exploration Data Merging

5 Course: Data Visualization using Python Data Visualization using Python Concepts in Data Viz Grammar of graphics Tufte and Data Viz Seaborn and Matplotlib Course: Machine Learning using Python Using scikit-learn for supervised learning Using scikit-learn for unsupervised learning Parameter tuning Diagnostics Overfitting Plotting Data Preprocessing Couse: Advanced Data Analytics techniques using Python Time Series Analysis Text Mining Sentiment Analysis Social Network Analysis Deep Learning Neural Networks Course: Data Analytics using R Exploratory Data Analysis Five Numbers Boxplot Hmisc Package Data Manipulation Logical Statements in R Conditional selection using "and", "or" and "ifelse" operator Using apply, sapply, lapply in R Data Manipulation using Data.Table and Dplyr Using sqldf package Course: Data Visualisation using R Concepts in Data Visualization Historical Graphs Tufte, Few, Maeda, Grammar of Graphics Basic and Advanced Plots. GGPLOT Interactive Plots Multiple Graphs, Title, Axes, Labels, Color Palletes, vcd, Tableplot, Googlecharts, Shiny, Rcharts, D3.js Course: Statistical Modeling and Machine Learning using R Machine Learning using R ( Part 1) Machine Learning using R ( Part 2) Covariance and Correlation Regression Analysis Multicollinearity and Hetroscedasticity in Model Outliers and VIF Logistic Regression Modelling Understanding the ROC Curve Understanding the Confusion Matrix KMeans Clustering Decision Trees Association Analysis Types of Problems and Tasks What is Machine Learning? Features, Models and Design of ML Study -Other Data Mining Methods Parameter Tuning

6 Course: Advanced Data Analytics techniques using R ( Part 1) ( Part 2) Time Series Analysis Text Mining Sentiment Analysis Social Network Analysis Deep Learning Neural Networks Course: Data Analytics using SAS Data Analysis using SAS-1 Proc Means, Proc Freq, Crosstabs, Var /CLASS Statement, ODS, Proc SQL, Do Loops Data Analysis using SAS-2 Proc Reg, Proc Logistic, Multi Collinearity, Heteroscedascity, Statistics, SAS Macro Language Course: Data Visualisation using SAS Data Visualization using SAS Scatterplot, Histogram, Piechart, Barchart, Histogram, Using the drop-down menu in tasks for Graphs Course: Statistical Modeling Statistical Modeling (Part 1) Statistical Modeling (Part 2) Proc Logistic Proc Reg Proc Corr Proc Anova Course: Data Visualization using Tableau Data Visualization using Tableau Chart choosing Measures Dimensions Functions

7 Projects Participants will have an option to do 1 or more of the following 3 projects: Project 1: Data Manipulation Project (5 days) Slice and Dice the dataset related to Credit Card Fraud to extract valuable insights Project 2: Data Visualization Project (5 Days) Use Tableau to generate reports for a given dataset Project 3: Data Mining Project (5 Days) Use Data Mining technique to do Predictive Analytics on a Mortgage dataset Learning Options Data Analytics using Python Path Data Analytics ( 2 weeks) Data Analytics Languages & Environment (4 weeks) SQL (2 weeks) Course: Statistics for Data Analysts (2 weeks) Course: Data Analytics using Python (2 Weeks) Course: Data Visualization using Python (1 Week) Course: Machine Learning using Python (2 Weeks) Course: Advanced Data Analytics techniques using Python (2 Weeks) Data Visualization using Tableau (2 weeks) Data Analytics using R Path Data Analytics ( 2 weeks) Data Analytics Languages & Environment (4 weeks) SQL (2 weeks) Course: Statistics for Data Analysts (2 weeks) Course: Data Analytics using R (2 Weeks) Course: Data Visualization using R (1 Week) Course: Machine Learning using R (2 Weeks) Course: Advanced Data Analytics techniques using R (2 Weeks) Data Visualization using Tableau (2 weeks) Data Analytics using SAS Path Data Analytics ( 2 weeks) Data Analytics Languages & Environment (4 weeks) SQL (2 weeks) Course: Statistics for Data Analysts (2 weeks) Course: Data Analytics using SAS (2 Weeks) Course: Data Visualization using SAS (1 Week) Course: Statistical Modeling (2 Weeks) Data Visualization using Tableau (2 weeks) Rs. 29,900+ST Rs. 29,900+ST Rs. 29,900+ST

8 Tools Batch Option 1 PM - 4 PM (Sat) Interested? Contact Us! info@digitalvidya.com Attend a Free Orientation Session: