How to Setting up Environment Variables in MacOS Sierra ?

Step 1

Open the Terminal and Write the Command

printenv

Geek@Nasrullahs-MacBook-Pro bin $ printenv

Step 2

Set the required path

Export PATH ={NEW PATH}:$PATH

export PATH=/Users/Geek/Anaconda-2/anaconda2/bin:$PATH

How to set username in Git ?

Open Terminal

Set Git User Name Globally

$ git config --global user.name "Nasr Ullah"

$ git config --global user.name
> Nasr Ullah

Set Git User Name for a Single Repository

$ git config user.name "Nasr Ullah"

$ git config user.name
> Nasr Ullah

How to associates the Editors with Git on Mac?

Using ATOM as Editor in Git

Step 1 - Download the ATOM 
Step 2 - Install the ATOM
Step 3-  Open Terminal & Use the following command 

$  git config --global core.editor "atom --wait"








Using Sublime as Editor in Git

Step 1 - Download the Sublime
Step 2 - Install the Sublime
Step 3-  Open Terminal & Use the following command 

$  git config --global core.editor "subl -n -w"

Using TextMate as Editor in Git

Step 1 - Download the TextMate
Step 2 - Install the TextMate
Step 3-  Open Terminal & Use the following command 

$  git config --global core.editor "mate -w"

Hot Technologies for Data Science

It is really confusing when you read about the Data Science and its technologies; If found very helpful information from Forbes Magazine and DataCentral Websites.

Gil Press posted a list of top 10 hot big data technologies in Forbes Magazine. The technologies being featured as hot were:

• Predictive analytics
• NoSQL databases
• Search and knowledge discovery
• Stream analytics
• In-memory data fabric
• Distributed file stores
• Data virtualization
• Data integration
• Data preparation (automation)
• Data quality

DataCentral website wrote the article on it and mentioned the hottest technologies as they know are the hot one:

• Adapting modern predictive algorithms to a distributed architecture
• AI (pattern recognition)
• Deep learning (the interection of AI and machine learning)
• Data science automation
• Leveraging data from sensors (IoT)
• Turning unstructured data into structured data, and data standardization
• Blending multiple predictive models together
• Intensive data and model simulation (Monte-Carlo or Bayesian methods), to study complex systems such as weather, using HPC (high performance computing)

What do you think are the hottest technologies now? Do you agree with Gill & Vincent Granville?

References:
https://www.forbes.com/sites/gilpress/2016/03/14/top-10-hot-big-data-technologies/#4f0b566565d7http://www.datasciencecentral.com/page/search?q=2016+predictions

How to Install Scikit-Learn on MacOS

Scikit-learn requires:

• Python (>= 2.7 or >= 3.3),
• NumPy (>= 1.8.2),
• SciPy (>= 0.13.3).

MAC OS Command

Scikit-learn and its dependencies are all available as wheel packages for OSX:

pip install -U numpy scipy scikit-learn

How to find your iPhone , iPad UDID ?

Finding your iPhone, iPod touch or iPad’s unique ID (UDID)

Every iPhone, iPod touch and iPad has a unique identifier number associated with it, known as a UDID (Unique Device ID). Your UDID is a 40-digit sequence of letters and numbers that looks like this: 0e83ff56a12a9cf0c7290cbb08ab6752181fb54b. It’s common for developers to ask for your UDID as they require it to give you beta copies of iOS apps.

Finding your UDID using iTunes

• Open iTunes (the Mac or PC app, not iTunes on your iPhone).
• Plug in your iPhone, iPod touch or iPad.
• Click its name under the devices list.
• Ensure you’re on the Summary tab.
• Click on the text that says Serial Number. It should change to say Identifier (UDID).
• Select Copy from the Edit menu.
• Your UDID is now in the clipboard, so you can paste it into an email or message.

What are the Possible Data Science Team Members?

Following are the Team members required to build a Data Science Team :

1. Data Scientist

2. Data Engineer

3. Big Data Engineer

4. Machine Learning Scientist

5. Business Analytics Specialist

6. Data Visualisation Developer

7.  Business Intelligence (BI) Engineer

8. BI Solutions Architect

9. BI Specialist

10. Analytics Manager

11. Machine Learning Engineer

12. Statistician

13. Mathematician

You can add more.. :)

What is Data Science?

• Skills of Extracting Knowledge from Data
• Using Knowledge to Predict UnKnown
• Improve Business Outcomes with the power of data. 
• Employ different techniques and theories from statistics, mathematics and computer science 

Who is Data Scientist ?

A Brief Definition. 

Person who is better at statistics than any software engineer and better at software engineering than any statistician.
~ Josh Wills 

What is Machine Learning?

Machine Learning (ML) is the field of study that gives computers the ability to learn without being explicitly programmed.

What are the Interpersonal Skills required for Project Manager?

Ultimately Project Manager accomplish work through the Project Team. Best project managers requires balance skill sets. 

• Leadership
• Team Building
• Motivation
• Communication
• Influencing
• Decision Making
• Political & Cultural Awareness
• Negotiation
• Trust Building
• Conflict Management/Resolution
• Coaching
• Mentoring

Project Management Basics.

What is Project Management?

Project Management is the art to manage the project.

What does mean to manage the project?

It is the discipline of Initiating, Planning, Executing, Monitoring & Controlling and Closing the work of team/teams to achieve specific goal and meet the specific acceptance criteria (within Budget , Schedule , and Quality Standards)

What are the major challenges in project management?

Primary challenge is to achieve all the PROJECT GOALS with Given Constraints. More descriptively Scope, Time, Quality and Budget.

Secondary challenge is to optimize the allocation of allocation of resources and necessary inputs and to integrate them to meet the pre-defined goals.

What are the Project Management Approaches?

There are multiple approaches and vary organization-to-organization and industry-to-industry. Mostly categories in followings:

1.    The Traditional Approach

2.    Process Based Management

3.    PMI Standards (Project Management Institute Standards)

4.    PRINCE 2

5.    Lean Project Management

6.    Project Production Management

7.    Agile Methodologies

8.    Benefits Realization Management

9.    Critical Chain Project Management

10. Extreme Project Management / Mega Projects

What are the Project Management Process Groups?

Following process groups that are mentioned as Process Group in PMI are already available in almost all project management approaches by similar or slightly different names.

1.    Initiation

2.    Planning

3.    Executing

4.    Monitoring & Controlling

5.    Closing

What are the Knowledge areas in Project Management?

Following knowledge areas that are mentioned in PMI are already available in almost all project management approaches by similar or slightly different names.

1.    Project Integration Management

2.    Project Scope Management

3.    Project Time Management

4.    Project Cost Management

5.    Project Quality Management

6.    Project Human Resource Management

7.    Project Communication Management

8.    Project Risk Management

9.    Project Procurement Management

10. Project Stakeholder Management

What are the Project Management Processes?

If we see PMI approach and other approaches we found the processes, which are descriptively described in PMI Process group wise.

Knowledge Areas	Initiating Process Group	Planning Process Group	Executing Process Group	Monitor & Control Process Group	Closing Process Group
Project Integration Management	4.1 Develop Project Charter	4.2 Develop Project Management Plan	4.3 Direct and Manage Project Work	4.4 Monitor and Control Project Work 4.5 Perform Integrated Change Control	4.6 Close Project or Phase
Project Scope Management		5.1 Plan Scope Management 5.2 Collect Requirements 5.3 Define Scope 5.4 Create WBS		5.5 Control Scope 5.6 Validate Scope
Project Time Management		6.1 Plan Schedule Management 6.2 Define Activities 6.3 Sequence  Activities 6.4 Estimate Activity Resources 6.5 Estimate Activity Duration 6.6 Develop Schedule		6.7 Control Schedule
Project Cost Management		7.1 Plan Cost Management 7.2 Estimate Cost 7.3 Determine Budget		7.4 Control Cost
Project Quality Management		8.1 Plan Quality Management	8.2 Perform Quality Assurance	8.3 Control Quality
Project Human Resource Management		9.1 Plan Human Resource Management	9.2 Acquire Project Team 9.3 Develop Project Team 9.4 Manage Project Team
Project Communication Management		10.1 Plan Communication Management	10.2 Manage Communication	10.3 Control Communication
Project Risk Management		11.1 Plan Risk Management 11.2 Identify Risks 11.3 Perform Qualitative Risk Analysis 11.4 Perform Quantitative Analysis 11.5 Plan Risk Response		11.6 Control Risk
Project Procurement Management		12.1 Plan Procurement Management	12.2 Conduct Procurement	12.3 Control Procurement	12.4 Close Procurement
Project Stakeholder Management	13.1 Identify Stakeholders	13.2 Plan Stakeholder Management	13.3 Manage Stakeholders	13.4 Control Stakeholders