Data Science

About Course

Interested in learning more about data science, but don’t know where to start? The program consists of different courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. This Specialization covers the concepts and tools you’ll need throughout to kick start your career.Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.

Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.

Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
Apply various data science skills, techniques, and tools to complete a project and publish a report

You’ll learn concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL
A fuel of 21st Century
Gives You Decision Making Power
Offers Quick Growth
Datascience is the career of tomorrow

1. What is data analysis?
2. Why python for data analysis? Essential Python Libraries Installation and setup

Arrays and Libraries

1. Creating single dimension and multidimensional array
2. Data-Frames
3. Array attributes Indexing and Slicing and Creating array views and Manipulating Array Shape
4. Basic Statistics with Numpy Linear Algebra & Creating a Numpy Mask Array

Data Loading

1. Writing/Reading CSV ﬁles with numpy
2. Reading and Writing to Excel with JSON Format
3. Beautiful Soup

Data Visualization

1. Installation matplotlib Basic matplotlib plots Scatter plots
2. Saving plots to ﬁle
3. Plotting functions in pandas

1. Decision tree
2. Linear / Logistics regression
3. Naive Bayes Classification
4. k-Nearest Neighbors

Natural Language processing

1. Install nltk Tokenize wordssic matplotlib plots Scatter plots
2. Tokenizing sentences Stop words with NLTK
3. Stemming words with NLTK Speech tagging
4. Sentiment analysis with NLTK

Introduction to open CV

1. Setting up opencv
2. Loading and displaying images Applying image ﬁlters Tracking faces
3. Face recognition

Working with Big Data

who want to improve their programming skills by applying industry best practices in their daily work.
Individuals looking to learn Data Science
Project Managers, Software architects and Development Team Leaders, who want to implement or improve a software development process within a project, and who want to define a project or company-wide set of recommended tools and best practices.
Project Managers, Software architects and Development Team Leaders, who want to implement or improve a software development process within a project, and who want to define a project or company-wide set of recommended tools and best practices.