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14 Feb 2018

Data Science Tutorial | Learning Objectives |Data Science Techniques


What Are The Learning Objectives?

IQ online trainings will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees ,Linear and Logistic regression R studio, Data visualization, Regression models, Hadoop ,spark ,PROC SQL,SAS Macros, Statistical procedures, Advanced analytics ,Matplotlib ,Excel analytics functions Hypothesis testing, Zookeeper, Kafka interfaces. This Skill will assist you to prepare for the role of a data scientist. The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts & other resources that build you follow the optimal path to your dream role of a data scientist.

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Why Be a Data Scientist?

A data scientist is a successful platform for an analytics organization. Glassdoor has ranked data scientist 1st in the 25 Best jobs for 2016 & good data scientist are less and in great on-demand. As a data, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools,& finally make recommendation backed by data.

Learn Data Science In Detail: Beginners & Advanced Levels, Step By Step. Enroll Now!!


Why Should You Join?

1] Accelerate your career in Data science with APDS from IIM C

2] Get a firm foundation in advanced quantitative & Statistical Tools to assist with effective decision making

3] Learn the application of Data science Techniques across various domains

4] Learn anytime anywhere with live online interactive classes


Who Should Join?

1] Working professional ambition to become a Data Scientist

2] Executive interested in the fields of data analysis & management.

3] Executives in management field finding greater knowledge of various techniques & skillful analytical skills.


What Projects Are Included In This Program?

This data Scientist master in 17+ real-life, industry-based projects on different domains to help you master concepts of data science like data management, statistics, big data.

Project 1:  Learn how leading Healthcare industry makes use of data science to grip business growth.

Domain: Health Care


Project 2: Understand how the insurance leaders like Berkshire Hathaway, AIG, and AXA, etc make use of Data Science by working on a real-life project based on insurance.

Domain: Insurance


Project 3: See how banks like Citigroup, Bank of America ICICI, and HDFC make use of data science to stay ahead of the competition.

Domain: Banking


Project 4: Learn how stock markets like NASDAQ, NSE, BSE, and holds on Data Science & Analytics to arrive at usable data from complex datasets.

Domain: Stock Market


Project 5: See how Data Science is used in the field of engineering by taking up this case study of Movie Lens Dataset Analysis.

Domain: Engineering


Project 6: Understand how leading companies like Walmart, Amazon, and Target, etc make use of Data Science to analyze and optimize their product placements

Domain: Retail




>>Enroll Now for Free Live Demo<<


Tools Covered

1] Advanced Analytics Tools

2] Data collection amp Storage Tools

3] ETL Tools

4] File System

5] Programming Tools


Learning Path

Course 1:- Data Science with SAS Training

Course 2:- Data Science Certification Training- R Programming

Course 3:- Big Data Hadoop & Spark developer

Course 4:- Data Science with Python

Course 5:- Business Analytics with Excel

Course 6:- Apache Kafka

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40 Data Science Techniques

1] Liner Regression

2] Logistic Regression

3] Jackknife Regression

4] Density Estimation

5] Confidence Interval

6] Test of Hypotheses

7] Pattern Recognition

8] Clustering

9] Supervised Learning

10] Time Series

11] Decision Trees

12] Random Numbers

13] Monte-Carlo Simulation

14] Bayesian Statistics

15] Naive Bayes

16] Principal Component Analysis

17] Ensembles

18] Neural Networks

19] Support Vector Machine

20] Nearest Neighbors

21] Indexation/cataloguing

22] Feature Selection

23] (Geo-) Spatial Modeling

24] Recommendation Engine

25] Search Engine

26] Attribute Modeling

27] Collaborative Filtering

28] Rule System

29] Linkage Analysis

30] Association Rules

31] Scoring Engine

32] Segmentation

33] Predictive Modeling

34] Graph

35] Deep Learning

36] Game Theory

37] Imputation

38] Survival Analysis

39] Arbitrage

40] Lift Modeling


8 Data science Skills That Will Get You Hired

1] Programming skills

2] Statistics

3] Machine learning

4] Multivariable Calculus& Linear Algebra

5] Data Wrangling

6] Data visualization & communication

7] Software engineering

8] Data Intuition


Top 10 Algorithms& Methods Used By Data Scientist

1] Regression

2] Clustering

3] Decision Trees/rules

4] Visualization

5] K-nearest neighbors

6] PCA

7] Statistics

8] Random Forests

9] Time-series/Sequence

10] Text Mining


8 Steps to Become Data Scientist

Step 1:- Get Good At Math; Stats, Machine Learning

Step 2:- Learn To Code

Step 3:- Understand Databases

Step 4:- Master Visualization & Reporting

Step 5:- Learn Big Data

Step 6:- Get Experience

Step 7:- Meet Data Scientists

Step 8:- Get a Job





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