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ENROLL NOWVikash Shrivastava
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Seema Sharam
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Data science is an interdisciplinary field focused on extracting knowledge or required information from data sets, which are typically large. The field encompasses analysis, preparing data for analysis, and presenting findings to inform high-level decisions in an organization. As such, it incorporates skills from computer science, mathematics, statistics, information visualization, graphic design, complex systems, communication and business.
1. Hailed as the 'sexiest job of the 21st century'.
2. 90,000+ vacancy at various levels for Data Science profiles in India.
3. It is the fastest growing job on LinkedIn and is predicted to create 11.5 million jobs by 2026 world-wide.
4. According to Glassdoor, Data Scientists make an average of $116,100 per year in USA.
5. Data Scientists are Highly Prestigious as they help in making make or break decisions.
6. Data Science Makes Products Smarter and convenient to use.
1. Data Scientist
2. Data Analyst
3. Machine Learning Engineer
4. Data Engineer
5. Sports Analyst
6. Financial Analyst
7. Big Data Analyst
1. Fresher's - 3.5L - 4.5L
2. Experience 1 Yr to 4 Yr - 4.5L to 8L
3. Experience 5 Yr to 9 Yr - 10L to 18L
4. Experience 10 Yr+ - 18L to 30L
Data Science is becoming the most booming field of the next industrial revolution, and that's why more and more professionals are getting inclined towards studying data science courses and becoming proficient in the field. As per sources, we create 2.5 Quintillion bytes of data everyday and it is also said that by the end of 2020 there will be 2,720,000 job openings for Data Scientists across the world. Now that's not a small number at all.
This number shows us that organisations across the world have a growing demand & need of data scientists, and on top of that they are willing to pay a good sum of remuneration as well. The reason why this demand is rising every day is because companies, especially those which are based on an E-commerce business model, require enormous amounts of data in order to put their businesses on the right direction and generate profitable solutions through an effective decision making process.
Data helps these companies critically understand the preferences of their target audience. They get in-depth analysis of their user behaviour, purchase pattern, & other interests. This makes them sure about what you as a consumer would love to purchase and that's how they come up with the right products & services to cater your buds. However, not everyone in any organisation knows how to extract data, or structure it. This is why organisations require expert Data Scientists, who can help organisations in planning better when it comes to synchronising the enormous amount of data available on the web.
Now professionals across the world are opting for online data science courses to upskill themselves and meet the growing demand of organisations for expert Data Scientists. This is where we at CareerEx step in to provide you with an effective yet efficient solution and help you add wings to your career with our Data Science Certification Courses. Spread across three different programs, our data science courses are designed to cater needs of different professionals as per their level of superiority. The programs are based on an extensive learning module and offer promising proficiency in all in-demand Data Science tools like Python, R Programming, etc, under the guidance of a faculty consisting of industry leading experts from prestigious institutes like IIT, IIM, ISB & more.
1. Get access to an extensive learning modules.
2. Get 24/7 Support from our team on all doubts.
Our faculty & staff are always available for your service to keep all your doubts at bay, no matter from where or what time you are contacting us.
3. Get 100% Placement Asssistance
We ensure that your career stays in the most right & secure hands. That's why we offer you 100% placement assistance and help you in claiming the job of your dreams.
4. Get lifetime access to LMS
Through this you get the benefit to access our learning material anytime, from anywhere in the world. This also gives you the opportunity to go back on the lessons you have missed out on and re-learn them.
5. Access to Free Webinars
Access webinars where leading industrialists & data scientists will guide you on how to become a better data scientist in future and give you fresh insights on the industry and how to become successful in it.
6. Mock Interviews
Participate in mock interviews designed to make you job ready. So that when the time for an interview arrives, we make sure that you are ready to bag every job that comes your way.
The Data Science Course using Python and R commences with an introduction to statistics, probability, python and R programming, and Exploratory Data Analysis. you will be engaged with the concepts of Data Mining Supervised Learning with Linear regression and Predictive Modelling with Multiple Linear Regression techniques. Data Mining Unsupervised using Clustering, Dimension Reduction, and Association Rules is also dealt with in detail. A module is dedicated to scripting Machine Learning algorithms and enabling Deep Learning and Neural Networks with Black Box techniques and SVM. Learn to perform proactive forecasting and Time Series Analysis with algorithms scripted in Python and R.
This Data Science course espouses the CRISP-DM Project Management Methodology. A primer on statistics, DATA VISUALIZATION, plots, and Inferential Statistics, and Probability Distribution is contained in the premier modules of the course. The subsequent modules deal with Exploratory Data Analysis, Hypothesis Testing, and Data Mining Supervised Learning-enabled with Linear Regression and OLS. The following modules focus on the various regression models. We learn to enable Predictive Modeling with Multiple Linear Regression. The merits of Lasso and Ridge Regression, Logistic Regression, Multinomial Regression, and Advanced Regression For Count Data are explored. Data Mining Unsupervised Learning is the fulcrum of the next three modules. The various approaches used to enable the same like Clustering, Dimension Reduction, and Association Rules are elaborated in-depth with appropriate algorithms. The workings of Recommendation Engines and the key concepts of Network Analytics are also detailed.
This Data Science Course in India lends focus to Machine Learning algorithms like k-NN Classifier, Decision Tree and Random Forest, Ensemble Techniques- Bagging and Boosting, AdaBoost, Extreme Gradient Boosting, and Naive Bayes algorithm. Text Mining and Natural Language Processing also feature in the course curriculum. The building blocks of Neural Networks -ANN and Deep Learning Black Box Techniques like CNN, RNN, and SVM are also described in great detail. The concluding modules include model-driven and data-driven algorithm development for forecasting and Time Series Analysis.