As shown in the Forrester Wave report from September 2018, IBM is the second-largest provider of Predictive Analytics and Machine Learning solutions in the world. Simplilearn with this course (offered in collaboration with IBM) trains learners via applied learning giving them all they need to become Data and AI experts. The Data Science course in Karachi gets students ready for a rich career in the fields of Artificial Intelligence and Data Science.
Headquartered in Armonk, New York, IBM is a respected leader in premier cognitive solutions and cloud platforms, offering a vast selection of technology and consulting services. The well-established company is an acknowledged leader in research and development, investing $6 billion annually into these fields. IBM has won five Nobel prizes, five US National Medals of Science, six Turing Awards, nine US National Medals of Technology, and 10 inductions into the US Inventors Hall of Fame.
What benefits will this Data Science course in Karachi developed in collaboration with IBM give me?
You will receive certificates from IBM and Simplilearn for their respective courses, once you finish the Data Scientist online Master's program. The certificates that learners earn via our Data Science course in Karachi is proof of their knowledge in data science and related fields and proves to employers that they've gone through a recognized Data Science training in Karachi. You will also receive:
The Data Scientist profession is one of the most popular IT-related professions available today. IBM predicts that the need for Data Scientists will increase by 28% in 2020. Our Data Science course in Karachi (delivered as an IBM collaboration) trains you for key skills - data visualizations, clustering, data wrangling and mining, logistic and regression testing, statistics, and hypothesis testing. The course also explores Hadoop, PROC SQL, SAS Macros, Spark, recommendation engine, supervised and unsupervised learning, and other valuable skills.
The Data Scientist Master’s program focuses on extensive Data Science training, combining online instructor-led classes and relaxed self-paced learning. Our program offering Data Science training in Karachi ends in a Capstone project which is a culmination of all that you've learned by giving you a chance to implement all that you've learned via the training to a real business product. All of these skills will help you become an expert Data Scientist.
This Data Science training in Karachi boasts of more than 15 real-life, industry-based projects, emphasizing different domains. These projects help you grasp the more well-used concepts of Data Science and Big Data. Here are some of the projects you will encounter:
Capstone Project:
Description: Dedicating mentoring will be available as you work on an highly industry-relevant project which has you solving an industry problem with real implications leveraging the knowledge of technologies and skills you've been exposed to. The capstone project includes all the key points of data extraction, cleaning, and visualization, and how to build and tune models. You can also choose the domain/industry dataset you want to work on, based on whatever options are available.
After you successfully submit your project, you will earn a capstone certificate, showcasing your expanded learning and skills to potential employers.
Project 1: Products rating prediction for Amazon
Domain: E-commerce
Amazon, one of the top US-based e-commerce companies, habitually recommends products to customers that fall in categories that mesh with their past product activity and reviews. Amazon intends to enhance its recommendation engine, boost its capabilities - making it capable to make and map rating predictions on products not related and also add them to the list of recommendations the customer views.
Project 2: Improving customer experience for Comcast
Domain: Telecom
Description: Comcast, one of the top US-based global telecommunication companies, wants to take their customer service experience to the next level by locating problem areas that reduce customer satisfaction. Once these areas are found, Comcast wants a plan on how to solve this dilemma. The company is also looking for useful strategies that they can put in place to deliver the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM is one of the United States’ oldest and most well-known IT companies. This computer giant wants you to pinpoint the factors that influence employee attrition. Also, using the parameters identified, the company would like to develop a logistics regression model that predicts the employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, taking into consideration the impact of promotional markdown events. Walmart is one of America’s main retail stores. Figure out if macroeconomic factors like the Consumer Price Index, unemployment rate, etc., impact their sales.
Domain: Retail
Description: Walmart typically holds several promotional markdown events during the year. These markdowns usually revolve around popular holidays and annual events such as Labor Day, Thanksgiving, the Super Bowl, and of course, Christmas. The weeks with these holidays have a weighing factor five times higher in valuation than the normal, uneventful weeks. Walmart, however, is facing a challenge because of unanticipated demand, a situation made worse thanks to incorrect demand estimation. This flawed estimation results in the occasional stock shortfall. Macroeconomic factors like CPI, Unemployment Index, etc. can play an important role in predicting demand, but the company hasn’t yet figured out how to leverage these factors. Part of this project involves creating a model to highlight the effects of these promotional markdowns on the holiday weeks.
Project 5: Learn how top healthcare industry leaders use Data Science to improve their business in this data science course in Karachi.
Domain: HealthCare
Description: Predictive analytics is a valuable tool for many facets of healthcare, like mediating hospital readmissions, for example. But regardless of the industry, predictors offer the most value when they can be acted upon. In other words, historical and real-time data alone are useless until the company takes appropriate action. Furthermore, in order to predict the value and effectiveness of forecasting a trend and thereby change its behavior, you have to be able to reintroduce both the predictor and the intervention into the same workflow and system where the trend originally began.
Project 6: Work on an insurance-based real-life project to understand how insurance leaders like AIG, AXA, Berkshire Hathaway, etc., use Data Science.
Domain: Insurance
Description: According to data found in the 2013 Insurance Predictive Modeling Survey, predictive analytics have increased noticeably in the insurance industry, especially among the larger companies. The survey shows a predictive modeling boost across the industry, but the trends are inconsistent. For example, every insurance company writing over $1 billion in personal insurance uses predictive modeling, but companies who deal with less than $1 billion are set in the 69% utilization range.
Project 7: See how large banks like Bank of America, Citigroup, ICICI, HDFC, etc. use Data Science to stay ahead of their competition.
Domain: Banking
Description: A Portuguese banking institution launched a marketing campaign to give potential customers a compelling reason to invest their money in a bank term deposit. The bank used phone calls for this marketing campaign. Unfortunately, sometimes a customer got multiple calls from the campaign. Your job is to analyze all the relevant data obtained from this marketing campaign.
Project 8: Understand how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to gather consumable data from complex data sets.
Domain: Stock Market
Description: You will use the Yahoo data reader to import data from the following companies: Amazon, Microsoft, Apple, Google, and Yahoo. You must then use this data to perform fundamental analytics functions such as plotting closing price, plotting stock trade by volume, running daily return analysis, and using pair plots to show the correlations between stocks.
Project 9: Learn how Data Science is used in the field of engineering by working on this case study of MovieLens Dataset Analysis.
Domain: Engineering
Description: The GroupLens Research Project is a research group at the University of Minnesota’s Department of Computer Science and Engineering. The researchers are involved in several projects relating to collaborative filtering, information filtering, and recommender systems.
Project 10: Explore how top retail companies like Amazon, Walmart, Target, etc. utilize Data Science to analyze and optimize their product placements and stock inventory.
Domain: Retail
Description: Big businesses use Analytics to optimize their product shelf placement in stores and their warehouse inventory. This project helps participants learn about the daily cycle of product optimization, taking it from the warehouse to the shelves. This cycle provides the company with insights into regular happenings in the retail sector.
The best Data Scientists have an eclectic mixture of experience, data science knowledge, and the associated tools and technologies. It’s a fantastic career path, suitable for rookies and seasoned experts alike. Individuals having a passion for data science, an analytical mindset and good education are the ideal learners of this Data Science training in Karachi; the list of professionals comprise:
If individuals are looking to enroll and get the best out of this Data Scientist Course in Karachi, they’d need
Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.
* Ideal for aspiring SQL developers and data analysts
* Perfect for enhancing database management skills
* Beginner-friendly course designed by Simplilearn
* Covers basics to advanced topics of SQL
* Learn data storage, retrieval, and manipulation using SQL
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
* Gain a comprehensive overview of Python's tools and techniques for data analytics
* Experience vital skill development in Python for various data science roles
* Engage in a blended learning approach covering data wrangling, mathematical computing, and more
* Explore practical applications for a hands-on understanding
* Propel your data science career with Simplilearn's specialized training
*Gain career success with our comprehensive Machine Learning course
*Learn from 40+ hrs of Applied Learning and interactive labs
*Complete 4 hands-on projects to solidify your understanding
*Receive mentoring support throughout your learning journey
*Master essential machine learning concepts for certification
*Gain the skills needed to become a successful machine learning engineer
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Our course is exhaustive and this Data Science certification is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
This Data Scientist course in Karachi co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and overview of the Hadoop ecosystem.
As a part of this Data Scientist online training in Karachi, in collaboration with IBM, you will receive the following:
According to Glassdoor, the monthly salary of a data scientist in Karachi is PKR 70,000. With data science training in Karachi, you can develop the required skills and earn even more.
With data science training in Karachi, you can easily secure a job in several reputable companies, such as GfK, Careem, IBM, and Habib University.
Karachi's industrial base is spread over a wide range of sectors - textiles, pharmaceuticals, automobiles, and steel. Karachi houses major automobile companies like Toyota and Suzuki. Adam Motor Company, Millat Tractors, HinoPak Buses, and Daihatsu are well-known manufacturing plants in the city. With a strong corporate presence, Karachi is known as the software outsourcing hub of Pakistan. Karachi's Free Zone is one of the most rapidly emerging sectors and has an annual growth rate of almost 6.5%. Karachi is also home to an expo center, which hosts several domestic and international exhibitions, attracting tourists from all around the world. With data science training in Karachi, you can easily land a job in any of these industries.
The qualifications required to become a data scientist include a bachelor's degree in computer science, information technology, mathematics, or physics and a master's degree in a similar field. Data science training in Karachi helps you develop skills, such as machine learning methods, data visualization, math and statistics, and analytics, that are required to succeed in this field.
Karachi covers an area of 3,780 sq. km., making it the largest city in Pakistan and the 12th largest in the world. Bearing a population of 16.1 million, it is also the most populated city in the country. It is the capital of Sindh and has an elevation of 10 meters above sea level. With a hot, desert climate, Karachi experiences a long summer season. Since it is one of the most diverse cities in terms of culture and religion, it has been ranked as a beta-level city by the Globalization and World Cities Research Network. Karachi's Gross Domestic Product (GDP) in 2019 was $164 billion, and GDP per capita was $4292 in 2017.
Boasting several beaches, museums, palaces, and markets, Karachi is a place worth visiting. It is also popular for its heavenly cuisine, farmhouses, and top cinemas. Listed below are some of the best tourist spots in the city: