Data Scientist |IT Masters Program | 10 Courses Bundle
Study Method: Classroom & online Classroom | Deal of the Month | IT Program
Summary
- Certificate of completion - Free
- Tutor is available to students
- Job guarantee programme is included in this course
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Overview
IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The Data Science course in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.
The List of Courses included are:
Course 1: Data Science with Python
Course 2: Machine Learning
Course 3: Deep Learning with Keras and TensorFlow
Course 4: Tableau Training
Course 5: Data Science Capstone
Electives: Data Science with R Programming
Electives: Python for Data Science
Electives: SQL Training
Electives: Big Data Hadoop and Spark Developer OSL
Electives: Industry Master Class – Data Science
Certificates
Certificate of completion
Digital certificate - Included
Description
About the Data Analyst Master's program developed in collaboration with IBM
IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Data Analytics and Data Science. The Data Analyst Master’s program in collaboration with IBM will make students industry ready for Data Analytics and Data Science job roles.
IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.
What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?
Upon completion of this Data Analyst Master's program, you will receive the certificates from IBM(for IBM courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Data Analyst. You will also receive the following:
- Access to IBM Cloud Lite Account
- Industry-recognized Data Analyst Master's certificate from Simplilearn
What are the learning objectives?
Simplilearn’s Data Analyst Master's program developed in collaboration with IBM will provide you with extensive expertise in the booming data analytics field. This Data Analyst certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards.
In this Data Analyst certification online course, a special emphasis is placed on those currently employed in the non-technical workforce. Through this course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics.
This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful Data Analyst.
Why become a Data Analyst?
By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of Data Analysers is continuing to grow, creating a new job, and career advancement opportunities.
The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for data analysts in finance, insurance, and information technology. Data analysts earn an average pay of $67,377 in 2019 according to Glassdoor.
What Data Analysis skills will you learn in this course?
The learning path in this Data Analyst Master's program is specifically designed to give you the tools you need to be successful in Data Science and help you obtain a competitive edge. By the end of this Data Analyst certification training, you will:
- Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
- Master SQL concepts such as Universal Query Tool and SQL command
- Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
- Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
- Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
- Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
- Perform data analytics using popular Python libraries
- Gain insights on several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
- Gain an in-depth understanding of the basics of R, learning how to write your own R scripts
- Master R programming and understand how various statements are executed in R
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
- Gain a foundational understanding of business analytics using Excel
- Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
- Grasp the concepts of Tableau Desktop 10, become proficient with Tableau statistics and build interactive dashboards
- Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis
What Data Analysis projects are included in this course?
This Data Analyst Master’s program includes 15+ real-life, industry-based projects on different domains to help you master concepts of business analytics and intelligence, such as decision trees, data visualization, data blending, and more
Who should take this Data Analyst course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course, including:
- IT professionals
- Banking and finance professionals
- Marketing managers
- Sales professionals
- Supply chain network managers
- Beginners in the data analytics domain
- Students in UG/ PG programs
What are the prerequisites for this Data Analyst course?
Professionals wishing to succeed in this Data Analyst certification training should have basic knowledge of mathematics.
What are the job opportunities upon completing this Data Analyst course?
Upon completing the Data Analyst certification course, you will have the data analysis skills necessary to win your dream job. Apart from Data Analyst, other jobs titles include:
- Analytics Manager/Lead
- Business Analyst/Senior Business Analyst
- Business Intelligence Analyst
- Business Intelligence Engineer
- Various managerial roles
Who is this course for?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course, including:
- IT professionals
- Banking and finance professionals
- Marketing managers
- Sales professionals
- Supply chain network managers
- Beginners in the data analytics domain
- Students in UG/ PG programs
Requirements
Professionals wishing to succeed in this Data Science certification course should have:
- Basic knowledge of statistics
- Basic understanding of any programming language
Career path
Upon completing the Data Analyst certification course, you will have the data analysis skills necessary to win your dream job. Apart from Data Analyst, other jobs titles include:
- Analytics Manager/Lead
- Business Analyst/Senior Business Analyst
- Business Intelligence Analyst
- Business Intelligence Engineer
- Various managerial roles
Questions and answers
Hi good evening, is this course eligible for evening classes? Also is there anyone I could contact to discuss more info
Answer:Yes ! we have multiple options suiting your needs as weekdays and weekends also morning and evening sessions. Kindly leave your number or connect via call or whatsapp on 0207 -993 - 4928. Regards Fortray
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Provider
Fortray is a leading IT education, recruitment, and services provider, driving digital transformation across individuals and societies. We equip professionals with in-demand digital skills in tech. Our industry-recognized, best-in-class programs combine hands-on learning, mentorship, and career support to help individuals thrive in today’s fast-growing job market. We are dedicated to empowering professionals to confidently transform their careers and contribute to the future of digital societies.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
