022-33574735 / 9923170071 / 8108094992 info@dimensionless.in

Data Science specialization using Python

This is a comprehensive online instructor led course that prepares you for various skillsets required in a Data Scientist profile that include Statistics, Tools and Business Skills. It covers entire data science pipeline from Data gathering, Data Manipulation, Exploratory Data Analysis, Model Planning, Model Building, Machine Learning algorithms and Data Visualization using tools like Python, Excel, Tableau and SQL.

Learn :

  • Statistical concepts [Basics to Advanced levels]
  • Exploratory Data Analysis using Python, Excel and Tableau
  • Data Importing, Exporting, Manipulation, Cleansing, Analysis, Visualization using Python
  • Model Planning, Data Modelling and Model Evaluation using real time case studies 
  • Various Machine Learning algorithms and its implementation through Hands-On in the class 
  • Communicate the findings through effective data visualizations

    COURSE DURATION              SESSION TIMINGS                 COST                 BATCH TYPE


    130 hours(16 weeks)              10am-02pm [Sat,Sun]             INR 30000/-               Weekend       


    130 hours(13 weeks)              07am-09am [Mon-Fri]             INR 30000/-               Weekday

Sign up for free Demo

COURSE DETAILS

  • Instructor led online LIVE session for entire course duration
  • Small batch size – Personalized attention
  • Highly Interactive sessions (Two way participation – Chat and Speech)
  • Highly experience and Qualified Trainers [Analytics experts, 10+ years industry experience (IIT Bombay and IIT Delhi Alumni)]
  • 20+ hours of In-depth case study discussion – Multiple domain Specific Projects 
  • 5 Projects for practical insight
  • Access to Session Recordings & Case studies thru Learning Manangement Portal for 2 years
  • Access to Cloud based Lab for Anywhere, anytime practice
  • Career guidance and Placement Assistance
  • Pay 5000/- during registration and rest only after experiencing 20 hours of sessions
  • Assignments and Case studies for Practice
  • Course completion Certification
  • Highly approachable faculty – 24*7 support available through Calls, Mailers, Discussion forum and Whatsapp groups
  • Reattend LIVE sessions -If you miss a Lecture due to some reason

Please find the module wise break-up of the course along with the duration

  • Intro to Research Methods
  • Visualizing Data
  • Central Tendency
  • Variability
  • Standardizing
  • Normal Distribution
  • Sampling Distributions

  • Estimation (Point estimate and Interval estimate)
  • Hypothesis Testing
  • t-tests (One Sample, Two Sample Dependent, Two sample Independent
  • ANOVA
  • Correlation
  • Regression
  • Chi-square Test

  • Introduction to Python
  • Variables, expressions statements
  • Conditional statements
  • Functions
  • Strings , Files and Lists
  • Dictionaries and Tuples
  • String Manipulation
  • Importing
  • The Pandas toolkit
  • Arrays & matrices using Numpy
  • Descriptive stats with Python
  • Inferential stats with Python
  • Machine Learning using Scikit

  • Introduction to Supervised and Unsupervised Learning
  • Linear Regression with Multiple Variables
  • Logistic Regression
  • Decision Trees [CART]
  • k-Fold Cross Validation
  • Bagging and Bootstrapping
  • Random Forest
  • Gradient Boosting (XGBoost)
  • Principal component Analysis
  • K-means clustering
  • Hierarchical Clustering
  • Market Basket Analysis
  • KNN
  • Support Vector Machine
  • Naive Bayes
  • Time Series Analysis

  • Tableau Introduction
  • Statistical analysis using Tableau
  • Maps and Images
  • Calculations
  • Authoring Dashboards
  • Integration of Tableau with R/Python

  • Domain Specific Case Study to be Solved
  • Continuous Support for any queries
  • LIVE Case Study discussion

 

  • Online Classes [Get the services of best trainers from Anywhere]
  • LIVE instructor-led Training throughout the training duration
  • Entirely Hands-On driven session
  • Practical Inputs from real time scenarios
  • Problems and Case Study driven training
  • Machine Learning algorithms are taught using at least 2 Case Studies for every algorithm

Himanshu is an IIT Bombay alumnus, with more than 10 years of experience across industries. Has worked for more than 8 years in the field of analytics for healthcare and manufacturing domain. Extensive knowledge of wide variety of machine learning algorithms and applications such as Text Analytics, Time Series modelling, Market Basket Analysis, SparkR etc.
Kushagra is an IIT Delhi alumnus, with more than 8 years of experience in IT industry essaying various roles. He has worked for more than 4 years in the field of analytics and has worked on varied problems. He specializes in R, Tableau and Machine Learning in particular. The passion to teach and mentor students has driven him to choose this path and wants to carve out a niche for himself in the same.

BECOME AN INSTRUCTOR TODAY!

JOIN US AND ENJOY THE BENEFITS OF HASSLE FREE TEACHING

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