What Are The Learning Objectives?
IQ online trainings will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees ,Liner 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 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 data scientist.
Why Be a Data Scientist?
A data scientist is a successful platform for an analytics organization. Glass door 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.
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 Data Scientist
2] Executive interested in the fields of data analysis & management.
3] Executives in management field finding the 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.
Project 3: See how banks like Citigroup, Bank of America ICICI, and HDFC make use of data science to stay ahead of the competition.
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.
Project 6: Understand how leading companies like Walmart, Amazon, and Target etc make use of Data Science to analyze and optimize their product placements
1] Advanced Analytics Tools
2] Data collection amp Storage Tools
3] ETL Tools
4] File System
5] Programming Tools
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
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
9] Supervised Learning
10] Time Series
11] Decision Tress
12] Random Numbers
13] Monte-Carlo Simulation
14] Bayesian Statistics
15] Naive Bayes
16] Principal Component Analysis
18] Neural Networks
19] Support Vector Machine
20] Nearest Neighbors
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
33] Predictive Modeling
35] Deep Learning
36] Game Theory
38] Survival Analysis
40] Lift Modeling
8 Data science Skills That Will Get You Hired
1] Programming skills
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
3] Decision Trees/rules
5] K-nearest neighbors
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